Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Sweden
- Australia
- Denmark
- Austria
- France
- Spain
- Norway
- Belgium
- Singapore
- United Arab Emirates
- Portugal
- Switzerland
- Czech
- China
- Ireland
- Canada
- Morocco
- Poland
- Luxembourg
- Romania
- Finland
- India
- South Africa
- Hong Kong
- Italy
- Armenia
- Croatia
- Cyprus
- Estonia
- Latvia
- Lithuania
- New Zealand
- Vietnam
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Social Sciences
- Education
- Earth Sciences
- Humanities
- Environment
- Arts and Literature
- Psychology
- Electrical Engineering
- Philosophy
- Linguistics
- Materials Science
- Law
- Physics
- Sports and Recreation
- 13 more »
- « less
-
at the BHUDRH, is to lead the design and delivery of innovative teaching and learning environments for health students undertaking their placement in our region. We also actively work to improve the quality
-
: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
-
The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs
-
-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
-
. Areas of interest include—but are not limited to machine learning and deep learning architectures; trustworthy or explainable AI; generative AI and natural-language systems; computer vision and multimodal
-
. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in wireless communication systems and
-
willing to learn from other people in the lab and collaborate. Candidates should have a master’s degree in Molecular biology, Biochemistry, or similar field and have deep interest in molecular biology and
-
FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The position requires a PhD in machine learning, NLP, causality, or a related discipline, with a strong command of deep
-
other module development relateing to AI-assisted cardiac surgery. Other duties as assigned. Minimum Qualifications Bachelor's degree required. Preferred Qualifications Experience with deep learning
-
the world’s largest supercomputers (Polaris, Aurora) and some of the most advanced characterization tools in the world at Argonne and Sandia National Labs. Candidates with a background in deep learning