دقایقی پیش شبکه #ایرانسل دچار قطع مقطعی شده بود که در حال حاضر در حال برطرف شدن است.

📢 فراخوان مقاله نوزدهمین همایش ملی و هشتمین کنفرانس بین ­المللی مهندسی ساخت و تولید ایران

نوزدهمین همایش ملی و هشتمین کنفرانس بین ­المللی مهندسی ساخت و تولید ایران روز پنجشنبه، 18 اسفند، 1401 توسط دانشگاه فردوسی مشهد, انجمن آکوستیک و ارتعاشات ایران, انجمن مهندسی ساخت و تولید ایران در شهر مشهد برگزار می شود.

دانشجویان علاقه مند می توانند جهت ارسال مقالات خود حداکثر تا 30 بهمن ماه با توجه به محورهای این دوره همایش اقدام نمایند

علاقه مندان می توانند جهت دریافت اطلاعات تکمیلی به پایگاه اطلاع رسانی همایش مراجعه و یا با دبیرخانه آن ارتباط برقرار نمایند.

جهت کسب اطلاعات بیشتر به صفحه همایش مراجعه فرمایید:
🔗 مشاهده صفحه همایش

۱. دانشمندان قرص ضدبارداری جدیدی به نام TDI-11861 برای مردان ساخته‌اند که فعلاً روی موش‌ها و در آزمایشگاه روی اسپرم انسان آزمایش شده و نشان داده که می‌تواند مانع از رسیدن اسپرم به تخمک شود. این دارو با اثر کوتاه‌مدت و بی‌عارضه یکی از بهترین گزینه‌ها با این رویکرد محسوب می‌شود
۲. آزمایش‌ها روی موش‌ها نشان داده که این قرص می‌تواند اسپرم‌ها را حداقل به‌مدت چند ساعت غیرفعال کند تا امکان رسیدن به تخمک را نداشته باشند. دانشمندان می‌گویند قرص ضدبارداری مردان با رویکرد جدیدی ساخته شده تا خللی در هورمون‌های مردانه ایجاد نکند و عوارض جانبی نداشته باشد.
۳. اثر TDI-11861 حدود سه ساعت باقی می‌ماند و بررسی‌ها حاکی از آن است که با گذشت 24 ساعت، دیگر اثری از آن در بدن دیده نمی‌شود و اسپرم‌های جدید دوباره می‌توانند به‌شکل عادی شنا کنند. پیش از آزمایش انسانی، این قرص روی خرگوش‌ها آزمایش می‌شود.

۱. مودم اسنپدراگون X75 5G که نسخه پیشرفته‌تر X70 محسوب می‌شود، از ارتباط ماهواره‌ای اسنپدراگون Satellite و وای‌فای ۷ پشتیبانی می‌کند. این مودم همچنین فرستنده-گیرنده موج میلی‌متری و زیر 6 گیگاهرتز شبکه 5G را ترکیب کرده است.
۲. به گفته کوالکام، ترکیب فرستنده-گیرنده باعث کاهش ۲۰ درصدی مصرف انرژی نسبت به اسنپدراگون X70 می‌شود، اما اگر در واقعیت با کاهش ۱۰ درصدی هم روبه‌رو شویم، یک دستاورد قابل‌توجه برای کوالکام به حساب می‌آید.
۳. این مودم که از هوش مصنوعی برای بهبود سرعت، پوشش‌دهی و افزایش دقت موقعیت‌یابی استفاده می‌کند، در نیمه دوم سال جاری میلادی و احتمالاً با اسنپدراگون 8 نسل 3 از راه می‌رسد.

شغل رویایی در هر کشور.
ایران: influencer
هلند: نويسنده
آمريکا: خلبان.

برنامه artifact رو هم‌بنیان‌گذارهای اینستاگرام ساختن واسه خوندن مقالات و اخبار. اساس کارش هوش مصنوعی هست که بر حسب سلایق و سابقه شما یاد میگره چی رو بهتون نشون بده. برای عضویت فعلا یه لیست انتظار داره. چهار نفر از این لینک دعوت من میتونن ثبت نام بکنند

https://artifact.news/
فعلا فقط از سایت‌های خبری به من مطلب نشون میده و هنوز نتونستم وبلاگ‌ها و خبرنامه‌ها رو به عنوان سورس تعریف کنم ولی چون از rss پشتیبانی میکنه احتمالا مشکلی نباشه

کروم دسکتاپ همیشه رم زیادی مصرف میکنه، ولی توی آپدیت جدید ۲ تا ویژگی Memory Saver و Energy Saver رو اضافه کرده و این مشکل برای همیشه برطرف شده
توی تست من حداقل ۳۰ تا تب باز کردم و کروم بدون کوچک‌ترین لگ و مصرف رم داره کار میکنه

دوستان عزیز اگه براتون نمایش داده نمیشه ظاهرا این گزینه میتونه کمک کنه
توی آدرس مرورگر کروم اینو بزنید

chrome://flags/#high-efficiency-mode-available
و گزینش رو فعال کنید

D. in Data Science @ University of Rome Tor Vergata https://datasciencephd.uniroma2.it

Special themes:
[1] Privacy in Pre-Trained Language Models: Data leakage from pre-trained transformers (informal inquiries to fabio.massimo.zanzotto@uniroma2.it)
[2] Creation of a consolidated data model for ESG (Environment, Social and Governance ) reporting using Semantic Web formalisms (informal inquiries to stellato@uniroma2.it)

The position is opening soon. Check the website (https://datasciencephd.uniroma2.it) often.

For the position [1], you will join a vibrant group working on these projects HitAI, KATY, REVERT and more…

For the position [2], you will collaborate with OS-Climate

hD position focusing on Neuro-Symbolic AI at the University of Amsterdam, targeting XAI with applications in finance. Deadline: February 15.

It would be appreciated if you could forward it to your students who might be interested.

Further info can be found at the link below:

https://vacatures.uva.nl/UvA/job/PhD-Position-in-Explainable-AI-in-Finance/761750602/

موقعیت فول فاند دکتری
اروپا

new (fully paid) PhD position on "reliable deep multi-task reinforcement learning using epistemic uncertainty estimation in graph neural networks" at TU Delft (Netherlands)! We have a great team working on closely related projects, and offer lots of opportunity to be creative and follow your own research questions. See http://reinforceAI.net for more information on our group.

Challenge: AI that generalizes reliably to new situations.
Change: Make neural networks certain about their predictions.
Impact: Help AI to leap from the simulator to the real world.

Please apply here: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=10652&jobTitle=%20PhD%20position%20in%20reliable%20deep%20reinforcement%20learning%20

موقعیت دکتری فول فاند
رشته کامپیوتر

هند

Cross-Caps Lab, Infosys Centre for AI @IIIT Delhi is inviting applications for a full time Ph.D. position in the area of Speech Recognition. This is a full-time position and can’t be held concurrently with any other substantive post.

For general queries, interested candidates can send an email to abrol[at]iiitd[dot]ac[dot]in with the subject "Inquiry for Ph.D. (ASR) @ Cross-Caps".


Timelines and Application Procedure:
Applications are accepted through this Google form https://lnkd.in/ez4TaWCX
The position will start asap but is quite flexible.
Applications will be evaluated constantly and will be filled on as soon as a suitable candidate is found.

Benefits:
- Salary equivalent of PMRF INR 60K - 65K per month available based on prior experience and for deserving candidates.
- Access to high-performance computing infrastructure.
- Networking opportunity with peers and collaborators via overseas visiting research fellowship.

Qualifications
You must hold a Bachelor's or Master's (preferable) degree with CGPA>7 in CSE/ECE/Mathematics or related disciplines.

You should demonstrate experience with sequence-to-sequence-based Deep Learning technologies (e.g., Transformers, LSTM, NMT, Conformer, DeepSpeech) and building Automatic Speech Recognition (ASR) pipelines using one of the popular tools such as Kaldi, SpeechBrain, ESPNet, or TensorflowASR in tandem with TF/Pytorch. Knowledge and hands-on experience with classical machine learning algorithms are always a plus.

دو موقعیت دکتری کامپیوتر
فول فاند
اروپا

PhD candidate will explore how cutting-edge data analysis tools, including machine learning (ML), can be applied and tailored to answer fundamental cellular biology questions relying on such super-resolved images. This project combines timely analytical challenges with deep-rooted applications in life science.
We are looking for a PhD candidate with MS majors in either engineering/computer science/physics/mathematics. Experience with ML implementation, graphs and/or microscopy data is a plus.
More information & application
https://su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=19938&rmlang=UK

Deadline: 21/02/23
Contact: For more information, please contact project leader, Associate Professor, Juliette Griffie, juliette.griffie@dbb.su.se.

Keywords: spatial point patterns, graph neural network & microscopy image analysis

موقعیت دکتری مهندسی
مالزی

PhD student at the School of Engineering, Monash University Malaysia. The topic is on applying deep learning/ machine learning in medical images (e.g., chest X-rays, mammograms, CT scans, etc.).
Benefits:
- Tuition fees waived
- MYR 2,800/ month, stipend
Requirements:
- A Master's degree or a 4-year Bachelor’s degree in Computer Science, Electrical Engineering or similar. A first class degree is required for either the Bachelor’s or Master’s (preferably both)
- Good knowledge of mathematics and algorithms.
- Good knowledge of using deep learning techniques for solving computer vision problems (e.g., detection, segmentation, and/ or classification).
- Fluency in Python
- Good knowledge with: PyTorch, TensorFlow, OpenCV (or any alternatives).
- English fluency, both written and spoken.
For more details, please contact and send your latest/ updated CV and academic transcripts to Dr. Maxine Tan at MaxineDOTTanATmonash.edu.
The scholarship is opened to both local (Malaysian) and international students

موقعیت دکتری/پستداک

Ph.D/postdoc opportunities at Imperial College/HEC Montreal to study inverse problems with transportation applications.

In many areas of science and engineering inverse problems arise. These problems consider a set of field observations and aim to derive the causal factors that generated the data. Inverse problems are difficult to tackle because they are underdetermined, i.e., there is often a, possibly infinite, set of causal factors that are consistent with the field data. These solutions are then used to tackle control problems. This project aims to characterize the set of solutions and to quantify their impact on the solution set of the control problems. This ultimately enables the design of robust causal inference and robust counterfactual analysis techniques.

This project develops compute-efficient optimization techniques to tackle these problems. The project can cover research areas such as bilevel optimization, fixed-point problems, game theory, traffic assignment, travel demand estimation.

The project is motivated by high-dimensional inverse problems that arise in the field of urban mobility and transportation. The inverse problems consider traffic field data that describes congestion patterns and aim to derive the travel demand that generated these congestion patterns. Control problems include congestion pricing and traffic management problems.

Research Team.
The researcher will be co-advised by Prof. Dario Paccagnan (Department of Computing, Imperial College London) and Prof. Carolina Osorio (Scale AI Research Chair, Department of Decision Sciences, HEC Montreal; Google Research). Academic affiliations can be at either Imperial College or at HEC Montreal with potential affiliations to various research centers (e.g., CIRRELT, GERAD) and numerous career opportunities within the Scale AI and the IVADO ecosystems. Details on the PhD program at Imperial College can be found at link. Similarly, for HEC Montreal, see link.




Application process.
A strong background in mathematics, operations research, optimization, game theory, control theory, computer science, statistics, or other related disciplines is required. A successful candidate should have proficiency in programming and an interest in transportation applications. Applicants are invited to submit: (i) a full CV, (ii) a copy of all their university-level transcripts, (iii) a short statement (at most 3 pages) describing why they want to work on this topic, what subtopics they would like to focus on (e.g., describe the first few papers they’d like to work on) and why they think they are qualified to do so; (iv) the names and contact details of three references (including graduate supervisors). If desired, applicants can include a copy of one of their scientific publications. All documents should be compiled into a single pdf file and send to : univ.vacancies@gmail.com with the subject “Application Inverse Problems Research".

موقعیت پستداک
دانشگاه آکسفورد

postdoc to work on logic + machine learning + constraint solving + program synthesis at the University of Oxford.

An ideal candidate will have experience in some/all the areas of program synthesis; inductive logic programming; answer set programming, sat solving, or constraint solving.

The start date and working conditions are highly flexible.

Contact me (andrew.cropper@cs.ox.ac.uk) if interested.

The full details are here:

https://www.cs.ox.ac.uk/news/2129-full.html

موقعیت پستداک پنجساله
آلمان

PostDoc position in the recently established Center for Artificial Intelligence in Public Health Research, which is part of Robert Koch Institute, in Berlin, Germany. The position will be part of a larger third-party project that will be based in the research group "Climate and Societal Analytics".

Key competencies:
Research experience with machine learning for process modelling and data exploration
Research experience with causal inference and/or symbolic regression

Bonus:
Knowledge/Experience in either climate sciences or infectious disease modelling

All details for the position can be found here:
RKI - Careers - Scientific staff member - Climate and health research (all genders)

Deadline: March 6, 2023
Start of project: April 2023

موقعیت پستداک یادگیری ماشین
لندن

PostDoc in Explainable RL & Trust @ Imperial College London (Aldo Faisal)

PostDoctoral Research Associate in Machine & Human Learning (Explainable AI & Trust in Machine Learning)
The Lab of Prof Aldo Faisal at Imperial College London (www.FaisalLab.org) based in the Dept. of Computing and the Dept. of Bioengineering at is seeking to hire a Post-Doctoral Research Associate (PDRA) to develop and lead projects in interpretable and explainable machine learning and its interface with cognitive and neurosciences - because machine learned explainability and interpretability and human trust require us to study and investigate how the human mind responds to the artificial mind.
Our has pioneered novel technologies for human-interfacing AI, and for measuring human trust in said AI. We want to understand how we can interface with human users interacting with AI systems on a cognitive level, to help them achieve the best outcome in their activities. The work applies to a wide application area, e.g. from clinical decision support systems based on reinforcement learning (Komorowski et. al, Nature Medicine 2018; Gottessmann et al., Nature Medicine, 2019), interpretable reinforcement learning algorithms for human-machine interaction (Beyret et al, IROS 2019). We have always paired this foundational technical work with worklinking AI and neuroscience for practical uses (e.g. Kadirvelu et Faisal, Nature Med, 2023; Ricotti et Faisal, Nature Med, 2023), such as our last online experiments to quantify and measure human trust in AI algorithms (Shafti et Faisal, arxiv, 2022).
https://www.imperial.ac.uk/jobs/description/ENG02471/research-associate-machine-human-learning-explainable-ai-trust-machine-learning/

موقعیت پستداک
تعامل انسان و ربات

منچستر، انگلیس

Postdoc in Human-Robot Interaction, University of Manchester UK
A Postdoctoral Research Associate in Human-Robot Interaction is required for a period of 12 months (with possible extension) to work on the UKRI/EPSRC project “Trustworthy Autonomous Systems Node on Trust”. This is a collaborative project of the University of Manchester’s Cognitive Robotics Lab with Heriot-Watt University Edinburgh and Imperial College London.
The candidates will carry out research on human-robot interaction for trust. A PhD in Psychology, Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Good programming skills are important, as well as human-robot interaction experiment skills.
The research fellows will be working collaboratively as part of the Cognitive Robotics Lab at the Department of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required.
Expected start date of the post is 1 April 2023.
Enquiries about the vacancy, shortlisting and interviews:
Please email Professor Angelo Cangelosi for informal enquiries: Email: angelocangelosil@manchester.ac.uk

You can apply online at the following site:
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=24607