Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Austria
- Germany
- France
- Australia
- Netherlands
- Norway
- Belgium
- Denmark
- Singapore
- Sweden
- Luxembourg
- Czech
- India
- China
- Portugal
- Switzerland
- Spain
- Ireland
- Poland
- Canada
- United Arab Emirates
- Hong Kong
- Italy
- Lithuania
- Morocco
- Bulgaria
- Finland
- New Zealand
- South Africa
- Andorra
- Armenia
- Barbados
- Croatia
- Cyprus
- Estonia
- Europe
- Kyrgyzstan
- Latvia
- Romania
- Slovenia
- Worldwide
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Business
- Chemistry
- Environment
- Humanities
- Linguistics
- Education
- Arts and Literature
- Law
- Social Sciences
- Earth Sciences
- Psychology
- Materials Science
- Philosophy
- Electrical Engineering
- Sports and Recreation
- Physics
- Design
- 14 more »
- « less
-
research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
pipeline, building on existing deep learning models in meteorology and climate science Your Profile PhD in computational science, mathematics, physics, or a related subject Experience with machine-learning
-
Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
-
highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here
-
at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding
-
, storage, and local electricity grids. A key goal is to translate methodological innovations in deep learning into practical tools for sustainable urban energy systems, supporting applications in forecasting
-
pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
-
the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
-
the goal of providing care ‘close to home’ whenever feasible. https://pediatrics.uchicago.edu/ The DOP has a long and proud history of research and discovery in the basic, clinical and translational sciences
-
their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master