در زمینه مهندسی پزشکی، چندین ابزار نرم افزاری مهم و مفید در زیر شاخه های مختلف وجود دارد:

1. بیوالکتریسیته:
- COMSOL Multiphysics: برای شبیه سازی و مدل سازی پدیده های بیوالکتریک استفاده می شود.
- NEURON: ابزاری برای مدل سازی و شبیه سازی رفتار تک تک نورون ها.

2. بیومواد:
- ANSYS: به طور گسترده برای تجزیه و تحلیل اجزای محدود خواص بیومواد و شبیه سازی استفاده می شود.
- MATLAB: برای مدلسازی و آنالیز خواص و ساختارهای بیومواد مفید است.

3. بیومکانیک:
- OpenSim: متخصص در مدل سازی و شبیه سازی اسکلتی عضلانی.
- Abaqus: برای تجزیه و تحلیل اجزای محدود در مطالعات بیومکانیکی استفاده می شود.

4. بالینی:
- سیستم های حماسی : در موسسات مراقبت های بهداشتی برای پرونده الکترونیک سلامت (EHR) استفاده می شود.
- 3D Slicer : یک پلت فرم نرم افزار منبع باز برای تجزیه و تحلیل و تجسم تصاویر پزشکی.

برای تسلط مؤثر بر این ابزارهای نرم افزاری، می توانید موارد زیر را در نظر بگیرید:

1. دوره ها و آموزش های آنلاین: پلتفرم هایی مانند Coursera، edX و LinkedIn Learning دوره هایی را در مورد استفاده از این نرم افزارها در زمینه مهندسی پزشکی ارائه می دهند.

2. برنامه های دانشگاهی: ادامه تحصیل در رشته های مهندسی پزشکی، فیزیک پزشکی، نوروساینس، دکتری پیوسته علوم و مهندسی اعصاب، مهندسی عصبی یا رشته های مرتبط در یک دانشگاه معتبر می تواند آموزش های عمیق و دسترسی به این ابزارها را ارائه دهد.

3. کارگاه ها و کنفرانس ها: شرکت در کارگاه ها و کنفرانس های مرتبط با مهندسی پزشکی و بیومکانیک می تواند به شما کمک کند تا با متخصصان ارتباط برقرار کنید و تجربه عملی را با این نرم افزار کسب کنید.

4. خودآموزی و مستندسازی: بسیاری از این ابزارهای نرم افزاری مستندات و آموزش های گسترده ای را در وب سایت خود ارائه می دهند که می تواند منبع ارزشمندی برای مطالعه شخصی باشد.

5. همکاری: همکاری با محققان و متخصصان این حوزه می تواند تجربه و بینش عملی را در مورد استفاده از این ابزارها فراهم کند.


راهنمایی های کلی در مورد شبیه سازی آناتومی بدن انسان در زمینه مهندسی پزشکی :

1. ابزارهای نرم افزاری رایج: شبیه سازی آناتومی بدن انسان، از جمله خواص الکتریکی آن، اغلب با استفاده از ابزارهای نرم افزاری شناخته شده مانند COMSOL Multiphysics یا MATLAB همراه با مدل ها و داده های آناتومیک مربوطه انجام می شود.

2. مدل های تشریحی: مدل های تشریحی دقیق بدن انسان، که اغلب بر اساس داده های تصویربرداری پزشکی مانند MRI یا سی تی اسکن است، برای ایجاد نمایش دقیق از اندام ها، بافت ها و خواص الکتریکی آنها استفاده می شود.

3. شبیه سازی های الکترومغناطیسی: برای شبیه سازی پدیده های بیوالکتریکی، روش های تحلیل المان محدود (FEA) و تفاضل محدود معمولاً در نرم افزارهایی مانند COMSOL یا اسکریپت های متلب ساخته شده سفارشی استفاده می شود.

4. داده های رسانایی: داده های دقیق در مورد هدایت الکتریکی بافت ها و اندام های مختلف برای شبیه سازی های واقعی بسیار مهم است. این داده ها را می توان از ادبیات یا اندازه گیری های تجربی به دست آورد.

5. شرایط مرزی: تنظیم شرایط مرزی مناسب و درک فیزیک رسانش الکتریکی در بافت های بیولوژیکی جنبه های کلیدی این شبیه سازی ها هستند.

6. اعتبارسنجی : شبیه سازی ها باید در برابر داده های تجربی اعتبار سنجی شوند تا از صحت و قابلیت اطمینان آنها اطمینان حاصل شود.


به یاد داشته باشید که مهارت با این ابزارهای نرم افزاری اغلب نیاز به تمرین و کاربرد در دنیای واقعی دارد، بنابراین ترکیبی از آموزش رسمی و تجربه عملی معمولا موثرترین راه برای تسلط بر آنها است.

کلاس های مقدمه ای بر مهندسی پزشکی قسمت بایوالکتریک دکتر توحیدخواه
1
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1636355702818
2
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1636786947276
3
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1636960395163
4
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1637392113700
5
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1637565554262
6
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1637996880069
7
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1638169604339
8
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1638422820246
9
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1638601665703
10
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1638774716928
11
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1639205924175
12
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1639379283742
13
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1639984444571
14
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1640237422504
15
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1640416493954
16
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1640588992624
17
https://blue.aut.ac.ir/playback/presentation/2.3/5d4f933305812b301c30e4ba09921223e3ee722f-1641190919563

سه موقعیت فول فاند دکتری
تخصص: یادگیری عمیق

استرالیا

مهلت اپلای : ۱۵ اکتبر
دو هفته باقیمانده
Looking three PhD students (Deep Learning) with full scholarship at Charles Stuart University, Australia. Please email your CV to mmoni@csu.edu.au
Details: https://research.csu.edu.au/study-with-us/scholarships/aicf-institute-phd-scholarships
Last date of application is 15th October, 2023

چندین موقعیت فول فاند دکتری
مهندسی برق/کامپیوتر
کانادا

Fully funded #PhD positions at Polytechnique Montreal, #Canada to work #Quantum Computing for #6G communication networks.

Requirements:
-Strong academic background in computer science/computer engineering/electrical engineering and Mathematics
- A passion for quantum computing
- Good knowledge of machine learning and optimization: convex optimization, non-convex and discrete optimization, combinatorial optimization, deep learning, reinforcement learning, generative and adversarial learning.
- considered a plus: experience with Unix/Linux and strong programming skills (e.g., Python)

Interested candidate, please reach out by email at:
soumaya.cherkaoui@polymtl.ca with:
- full cv detailing academic background, work and/or project experience, prior publications if any, language certifications
- transcripts
- 2 letters of recommendations

📌 گوشه ای از فعالیت های مشترک دپارتمان دانشکده مهندسی پزشکی دانشگاه های علم و صنعت ملک عبدالله و ملک عبدالعزیز عربستان 🇸🇦
و دانشگاه های مادر قطر (Qatar University) و حمد بن خلیفه قطر 🇶🇦
و دانشگاه های خلیفه و ابوظبی و عجمان و زاید و موسسه تحقیقات آمریکایی شارجه امارات 🇦🇪
و دانشگاه های سلطان قابوس و مسقط عمان 🇴🇲

به شدت مناسب اپلای تحصیلی و اپلای کاری
✈️✈️✈️


💢 در سایت هر دانشگاه قسمت
Faculty Of Bio Medical Engineering
میتوانید پوزیشن های مدنظر و مرتبط با لیست فعالیت های مشترک این کشور ها که در پایین این متن ذکر شده است بیابید.
👇👇👇

✅ Let's delve into these concepts one by one:

1. Electromagnetism:
Electromagnetism is a fundamental branch of physics that deals with the relationship between electric and magnetic fields. It describes how electric charges and currents generate magnetic fields and how changing magnetic fields can induce electric currents. One of the key equations in electromagnetism is Maxwell's equations, which summarize these relationships.

Example: When you use a magnetic compass, it aligns with Earth's magnetic field due to the principles of electromagnetism. Additionally, generators and transformers, which are crucial in electricity generation and distribution, operate based on electromagnetic principles.

2. EEG (Electroencephalogram):
EEG is a medical test that measures electrical activity in the brain. It involves placing electrodes on the scalp to record the brain's electrical signals. EEG is commonly used to diagnose and monitor conditions like epilepsy, sleep disorders, and brain injuries.

Example: In an EEG, the electrical activity produced by neurons firing in the brain is translated into a visual representation known as an EEG waveform, which can help neurologists assess brain function.

3. EMG (Electromyogram):
EMG is a medical test that measures the electrical activity of muscles. It involves placing electrodes on or in the muscles to record the electrical signals produced when muscles contract. EMG is used to diagnose neuromuscular disorders and assess muscle function.

Example: When a doctor uses EMG to evaluate muscle function, they can identify abnormal electrical patterns, helping diagnose conditions like muscular dystrophy or carpal tunnel syndrome.

4. ECG (Electrocardiogram):
ECG, also known as EKG, is a medical test that records the electrical activity of the heart. It involves placing electrodes on the skin to measure the heart's electrical impulses. ECG is used to diagnose heart conditions, such as arrhythmias, heart attacks, and abnormal heart rhythms.

Example: An ECG produces a graphical representation of the heart's electrical activity in the form of waves, with distinct patterns that help doctors identify cardiac abnormalities.

5. PET (Positron Emission Tomography):
PET is a medical imaging technique that uses a small amount of radioactive material (tracer) and a special camera to create detailed images of the body's internal structures and metabolic activity. It's often used in cancer diagnosis and neurological studies.

Example: In cancer imaging, a patient is injected with a radioactive tracer that accumulates in cancer cells. The PET scanner detects the emitted positrons, creating images that highlight areas of abnormal cell activity.

6. Medical Imaging Technology:
Medical imaging encompasses various techniques, including X-rays, CT scans, MRI (Magnetic Resonance Imaging), and ultrasound. These methods allow healthcare professionals to visualize internal body structures, aiding in the diagnosis and treatment of medical conditions.

Example: A CT scan uses X-rays to create detailed cross-sectional images of the body. It is valuable in detecting injuries, tumors, and other conditions, enabling precise medical interventions.

These technologies play crucial roles in understanding and diagnosing various medical and physiological conditions, ultimately improving healthcare and patient outcomes.
Here are brief applications and select bioelectrical engineering projects for these medical conditions:

1.

Common and Rare Cancers:
- Applications: Medical imaging (MRI, CT, PET) for early detection and treatment planning.
- Projects: AI-driven image analysis for tumor characterization, electromagnetic tumor ablation techniques.

2. Alzheimer's Disease:
- Applications: EEG for early diagnosis and tracking cognitive decline.
- Projects: EEG-based brain-computer interfaces for communication, deep learning models for Alzheimer's prediction.

3. Multiple Sclerosis (MS):
- Applications: MRI for lesion detection and monitoring disease progression.
- Projects: Advanced MRI techniques for detecting subtle changes, neuromodulation for symptom management.

4. Crohn's Disease:
- Applications: MRI and CT for diagnosing and monitoring inflammation.
- Projects: Wireless capsule endoscopy development, AI-enhanced imaging for disease tracking.

5. Scleroderma:
- Applications: Imaging for assessing skin and organ involvement.
- Projects: Wearable sensors for continuous monitoring, advanced imaging modalities for early diagnosis.

6. Myasthenia Gravis:
- Applications: EMG for diagnosing and assessing muscle weakness.
- Projects: Robotic exoskeletons for MG patients, neuromuscular junction modeling.

7. Type 1 and 2 Diabetes:
- Applications: Glucose monitoring using sensors. EEG and EMG for neuropathy assessment.
- Projects: Closed-loop insulin delivery systems, neural control of blood sugar, advanced glucose sensors.

8. Psoriasis:
- Applications: Imaging for severity assessment.
- Projects: AI-driven analysis of skin lesions, wearable UV phototherapy devices.

Funding allocation for these projects varies widely based on their scope and significance. These endeavors can receive funding ranging from thousands of dollars for pilot studies to tens of millions of dollars for large-scale, multi-institutional projects. Funding is typically sourced from government grants, private investors, and research institutions. To determine precise funding amounts, you would need to consult current research grants and funding sources for each specific project.

Surgical robotics and medical robotics have revolutionized the field of healthcare, enabling precise and effective treatments for various diseases. Here are some examples:

1. Prostate Cancer Surgery: Robotic-assisted laparoscopic prostatectomy is commonly used for treating prostate cancer. The da Vinci Surgical System allows for precise removal of the prostate while minimizing damage to surrounding tissues, leading to quicker recovery and fewer side effects.

2. Cardiovascular Surgery: In cardiac surgery, robots can assist in procedures like coronary artery bypass grafting (CABG). The use of robots enhances the precision of suturing and reduces the invasiveness of the procedure.

3. Neurosurgery: Robotics aid in intricate brain surgeries. For instance, the ROSA robot assists neurosurgeons in performing stereotactic brain biopsies, deep brain stimulation for Parkinson's disease, and epilepsy surgery, improving accuracy and safety.

4. Orthopedic Surgery: Robotic systems are used for knee and hip replacements. They offer custom implant planning, ensuring a better fit, reduced complications, and improved patient outcomes.

5. Gynecological Surgery: Robotic surgery is used for procedures such as hysterectomy and myomectomy. It enables minimally invasive surgery with smaller incisions, less pain, and shorter recovery times.

6. Oncological Surgery: For various cancers, including lung and colorectal cancer, robotic surgery assists in tumor removal. It allows for precise tissue dissection and lymph node removal.

7. Radiosurgery: While not surgical in the traditional sense, medical robots assist in delivering precise radiation therapy, such as the CyberKnife system, which is used to treat tumors with extreme accuracy.

8. Ophthalmic Surgery: Robots help perform delicate eye surgeries like retinal procedures. They offer stability and precision, crucial in maintaining or restoring vision.

9.

Pediatric Surgery: Robots are used for complex procedures in children, like congenital heart defect repair, where precision is critical.

10. Urological Surgery: Beyond prostate cancer, robotics assist in various urological procedures, such as kidney and bladder surgeries, improving outcomes and reducing patient discomfort.

In these examples, surgical and medical robotics contribute to more accurate and complete treatments, shorter hospital stays, reduced complications, and improved patient experiences. The technology continues to advance, expanding its application to various medical fields for the benefit of patients worldwide.

دانشگاه Rochester آمریکا اپلیکیشن فی برای پاییز ۲۰۲۴ را حذف کرد

موقعیت دکتری با فاند
بدون نیاز به پرداخت اپلیکیشن فی

My lab is recruiting multiple PhD students for Fall 2024 at the University of Rochester. There is no application fee.
We work in deep learning, and especially efficient continual/lifelong machine learning, bias robust neural networks, self-supervised learning, and multi-modal large language models.

‌اطلاعات بیشتر

https://chriskanan.com/potential-new-phd-students/

فایل راهنمای نگارش رزومه همراه با چند نمونه از دانشگاه مک گیل

تاریخ ددلاین گذشته ،ولی اگر شرایط رو دارید ،بفرستید مشکلی نیست.

The Trustworthy and Intelligent Embedded Systems (TIES) lab is looking immediately for 1-2 PhD students, starting Spring 2024 (January 2024). These are fully funded PhD positions. You are expected to work on the confluence of Machine Learning, Functional Safety and Security. You will be working in close collaboration with industries like Intel, Texas Instruments and NXP. Good coding skills and knowledge of Machine Learning are required. Knowledge of hardware will be preferred. Preference will be given to students already in the US. Please remember, UT Dallas requires GRE. If you don't have a GRE score, please don't contact. If interested, please contact at: kanad.basu@utdallas.edu. To know more about our research, please follow:
https://lnkd.in/dhjEcB4n

I am looking for new PhD students to join our group in Spring 2024 and Fall 2024. In particular, we are looking for highly motivated candidates who have an interest to contribute to cutting-edge research at the intersection of wireless networks, communications, AI, and game theory. Applicants must have a strong mathematical background and interest/experience in at least one of the above areas. The selected candidates will have the opportunity to contribute to solving fundamental problems that will help shape future wireless (e.g., 6G and beyond) and AI systems. Interested applicants can contact me by email at: saad.walid@gmail.com with a CV, list of publications, and statement of interest. 
#5G #6G #AI

دانشگاه آلبرتا
رشته مکانیک ولی تمام کارها برقی
سیگنال و لرنینگ و ...

control, machine learning, autonomous navigation

https://www.linkedin.com/feed/update/urn:li:activity:7103842085354577920?utm_source=share&utm_medium=member_android

برق قدرت دانشگاه میشیگان
https://www-personal.umd.umich.edu/~taehyung/Professor.html

Two PhD positions!

Exciting Opportunity: Two PhD Positions Available for Spring 2024.

Are you ready to embark on a journey of cutting-edge research and innovation? I am thrilled to announce two exceptional Ph.D. positions starting in the Spring semester of 2024. If you're passionate about pushing the boundaries of knowledge and embracing a world-class research experience at North Dakota State University, Fargo, ND, USA, awaits your arrival by mid-December or the first week of January 2024 at the latest.

Position 1: Autonomous All-Terrain-Vehicle (ATV) Steering Control Model Development and Design. Join my research lab in shaping the future of autonomous vehicles. Dive into the realm of innovative ATV steering control model development and design, where your creativity and expertise will drive progress.

Position 2: Wi-Fi/Mi-Fi Sensor Network-Based IoT System Design. Unlock the potential of the Internet of Things (IoT) as you craft sensor networks to sense vibroacoustic and electrical field signals. Your ideas will shape the IoT landscape, making a profound impact.

Key Requirements:
(a) Mastery in Programming: programming prowess in MATLAB/Simulink and/or Python and/or C/C++.
(b) Engineering Brilliance: a strong engineering design and mathematics background.
(c) CAD/CAE Expertise: Proficiency in CAD/CAE modeling and Finite Element Modeling.
(d) Independence and Initiative: an independent and self-initiative working attitude.
(e) English Language Proficiency (if applicable): TOEFL/IELTS scores.

To get this incredible opportunity, send your application files to sulaymon.eshkabilov(at)ndsu.edu with the subject line: "PhD Applicant - 2024."
Ensure your email includes the following components:
(1) Clearly Define Your Research Interests: Specify the thematic area(s) that ignite your passion.
(2) Highlight Your Research Journey: Summarize your prior research and modeling experiences concisely.
(3) Connect Your Competencies: Articulate why your unique skills align perfectly with your chosen position.
(4) Comprehensive C.V.: Attach a detailed Curriculum Vitae encompassing your undergraduate and graduate GPAs, research endeavors, practical experiences, publications, and contact details for at least three references.

Your conference participation, travel, and publication costs will be also covered by my research grants.

Don't miss out on this chance to redefine the future of technology and innovation. Apply today and be part of something extraordinary.

Thank you for considering this exciting opportunity!

دانشگاه ویرجینیا هزینه اپلیکیشن فی و آزمون GRE را برای تمام رشته های مهندسی حذف کرد.
https://engineering.virginia.edu/future-grads/graduate-admissions

🌟 Exciting PhD Opportunity in Silicon Micromachined Metamaterial Filters at EPFL! 🌟

Are you ready to shape the future of wireless communication? The Laboratory of Wave Engineering (LWE) at EPFL invites passionate and innovative minds to join our team as a PhD Researcher in the field of Silicon Micromachined Metamaterial Filters.

About Us:
At LWE, we're on a mission to revolutionize wireless communication systems, especially in the realm of 5G consumer devices. Our project focuses on developing state-of-the-art millimeter-wave silicon metamaterial filters, and we're collaborating closely with industry leader MinWave Technologies SA to make it a reality.

Your Role:
As a dedicated PhD researcher, you will play a pivotal role in designing, fabricating, and testing ultra-compact, highly efficient bandpass filters operating at 28GHz. These silicon micromachined metamaterial filters are set to disrupt the industry by offering remarkable size reduction while maintaining minimal insertion loss.

For more information about this exciting opportunity, please visit:

https://www.epfl.ch/labs/lwe/page-142116-en-html/

Hi everyone, I have Ph.D. position openings in Speech & Machine Learning Lab at The University of Texas at Dallas Department of Electrical & Computer Engineering for Spring & Fall 2024, in machine learning for expressive speech synthesis, voice conversion and emotion. If you are interested and have background in these areas, send me your CV, academic transcripts, and TOEFL/IELTS and GRE scores at berrak.sisman@utdallas.edu

I am hiring brilliant and dedicated Ph.D. students in Spring/Summer/Fall 2024 at the Power & Energy Systems Laboratory (PESL) of the University of Nebraska-Lincoln. Students with an excellent academic background and experience in WBG Power Electronics (circuits or packaging) and digital controllers (FPGA) are preferred. Financial support will start from $31,200/year for graduate research assistantships plus potential recruitment fellowships up to $8,000/year (if you are outstanding). Please do not hesitate to contact me at junwang@unl.edu with your CV and personal statement.

I'm looking for Ph.D. students to join our group in Spring 2024 and/or Fall 2024, to work on NSF-funded projects. We need self-motivated individuals with strong math and programming skills, interested in wireless communication and machine learning. If interested, email me at mvaezi@villanova.edu or visit https://lnkd.in/eNWrauwp for more details. Those selected will have the unique opportunity to shape the future of wireless (e.g., 6G) and AI systems. #PhDOpportunity #AI #5G #6G