BME DOC📚

دانشگاه کولورادوی آمریکا برای رشته کامپیوتر هزینه اپلای رو برای دانشجوهای بین المللی حذف‌ کرده

Department of Computer Science at CU Boulder is introducing a new application fee waiver program for international PhD applicants, as of Fall 2024 cycle. This program aims to provide application fee waivers to exceptional international students from countries experiencing economic hardships or facing financial sanctions. To facilitate this, qualifying PhD applicants can avail fee waivers until November 30th. It is important to note that due to limited funding, the department can only waive fees for up to 100 candidates for the Fall 2024 intake. Once this quota is reached, the program will be closed.
To be eligible for the fee waiver, applicants must meet the following minimum requirements:
- must be an international student hailing from countries where students face economic hardships or are subject to financial sanctions.
- must be applying for a PhD program within the Department of Computer Science.
- must be seeking enrollment for the fall term of 2024.
- must possess a minimum cumulative GPA of 3.5 or its equivalent from an accredited undergraduate institution.
- must fulfill all the department-specific requirements for the CSEN PhD program.
The grad online application along with copy of transcripts, personal statement, and resume must be submitted by 9:59 p.m. MST on November 30th, 2023. More at

https://www.colorado.edu/cs/admissions/graduate-admissions/how-apply

Once you submit the above online application and documents please submit THIS APPLICATION FORM

https://docs.google.com/forms/d/e/1FAIpQLSemkZhfk9QGWdp4deVhhT9GxWIHxWXtDoYV2BAVfnV6GeQWFQ/viewform?pli=1

to considered for the fee waiver.

1.45K views09:10

BME DOC📚

موقعیت دکتری با فاند سه ساله
رشته کامپیوتر
آلمان

Group of Computational Pathology at the University Medical Center Hamburg-Eppendorf, Germany, invites applications for a position as PhD candidate on the topic of 'Deep learning for biomedical image analysis' starting on 1st November 2023 for three years.
Description
The University Medical Center Hamburg-Eppendorf (UKE) is one of Europe's most modern clinics. Located close to the city center of Hamburg, the UKE fosters interdisciplinary research bridging medicine, basic and applied biomedical research, and teaching. Medical specialists and research scientists closely collaborate to develop and apply state-of-the-art technology to gain novel insights into human pathology and to provide optimal care for our patients.

The Group of Computational Pathology is part of the Institute of Medical Systems Biology (IMSB), and is a young team working on biomedical image analysis, in particular microscopy images. It is led by Prof. Dr. Marina Zimmermann. The group is also a member of bAIome, the Center for Biomedical AI (www.baiome.org), a platform at UKE where AI and clinical expertise team up with the aim of bringing next-generation software solutions into the clinic.
We currently offer a position in biomedical image analysis using deep learning and are looking for highly motivated students and graduates to complement our lively and enthusiastic team of scientists starting on 1st November 2023. Embedded in our group, the successful candidate will develop state-of-the-art deep learning-based algorithms and apply them to a wide range of medical problems.

The specific topic of interest is:
Design of novel and application of existing cutting-edge computer vision algorithms (e.g. U-Net, EfficientNet, Vision Transformers) for the automatic classification and segmentation of microscopy data (supervised, weakly supervised and unsupervised), and the subsequent prediction of disease progression in direct collaboration with clinical researchers.

Your Profile
• Master’s degree in computer science, mathematics or related fields.
• Solid understanding of deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, scikit-image, OpenCV).
• Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students.
• Experience in at least one of the following areas: digital image processing and analysis, deep learning, computer vision.
• Knowledge of biology and/or medicine, as well as experience in interdisciplinary teams are a plus.
• Proficiency in Python and Linux environments.
• Highly motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine.
• Fluency in English.

Application Deadline: 28/08/2023

Website for Additional Information and to Apply: https://www.uke.jobs/index.php?ac=jobad&id=1269

2.07K views09:10

BME DOC📚

چندین موقعیت دکتری و کاراموزی و پستداک کامپیوتر

سنگاپور

The Cognitively Inspired AI for Science (CogAI4Sci) team at the National University of Singapore is currently recruiting PhD students, postdocs, interns, and visiting scholars in the following directions.

1)    Consciousness inspired AI for reasoning and creativity.
2)    Cognitively inspired AI for medicine and clinical practice
3)    Cognitively inspired AI for biomedical sciences

Multiple fully funded positions are available.
More information and application link see: http://cogai4sci.com/

2.28K views09:10

BME DOC📚

دانشکده مهندسی دانشگاه ویرجینیا امسال هم آزمون GRE و هم هزینه اپلیکیشن فی را برای تمام رشته های مهندسی حذف کرد

GRE, and graduate application fee waiver for everyone.

اطلاعات بیشتر:
https://engineering.virginia.edu/future-grads/graduate-admissions

2.47K views09:10

BME DOC📚

موقعیت دکتری مهندسی برق

فول فاند
کشور قطر
New York University (NYU) Abu Dhabi offers Global PhD Student Fellowships in Electrical Engineering. This program allows PhD students to complete their coursework in New York and conduct their research in Abu Dhabi. For more information, please visit:

https://nyuad.nyu.edu/en/academics/graduate/global-phd-student-fellowship-in-electrical-engineering.html

If you are interested in pursuing a PhD thesis in wireless communications, send me your CV along with your academic transcripts.

3.67K views09:10

BME DOC📚

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.

4.98K views23:39

BME DOC📚

2.49K viewsedited 17:21

BME DOC📚

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

1.28K views18:04

BME DOC📚

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

LinkedIn Login, Sign in | LinkedIn

1.35K views18:04

BME DOC📚

📌 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.

1.21K views20:43

BME DOC📚

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.

1.22K views20:43

About

Blog

Apps

Platform