Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Sweden
- Spain
- France
- Australia
- Denmark
- Austria
- Norway
- Singapore
- United Arab Emirates
- Belgium
- Portugal
- Switzerland
- Ireland
- Canada
- China
- Morocco
- Finland
- Luxembourg
- Czech
- Poland
- Romania
- South Africa
- Hong Kong
- India
- Italy
- Armenia
- Brazil
- Croatia
- Lithuania
- New Zealand
- Vietnam
- 25 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Business
- Mathematics
- Chemistry
- Earth Sciences
- Education
- Social Sciences
- Arts and Literature
- Linguistics
- Environment
- Humanities
- Psychology
- Electrical Engineering
- Materials Science
- Philosophy
- Law
- Physics
- Sports and Recreation
- 13 more »
- « less
-
, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
-
ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) Eligibility requirements
-
to support the growth and competitiveness of our automotive designs in the global landscape. For more details, please view https://www.ntu.edu.sg/ancl Key job purpose Conduct investigations on the bonding and
-
51832010 - mohsen.assadi@uis.no Raoof Gholami - Professor - +47 51831406 - raoof.gholami@uis.no Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/291112/phd-fellowship-in-sustain
-
in general. Where to apply Website https://www.academictransfer.com/en/jobs/357226/phd-on-development-of-smart-alg… Requirements Specific Requirements Master’s degree in Biomedical Engineering
-
conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical
-
ACBs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry. The ideal candidate will have
-
solutions and applying them in real-world scenarios. Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch. Proficiency with deep learning frameworks such as
-
https://www.cvc.uab.es/blog/2025/11/21/phd-position-on-continual-learning-of-fo… Work Location(s) Number of offers available1Company/InstituteComputer Vision CenterCountrySpainState
-
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