Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Germany
- Sweden
- France
- Spain
- Australia
- Denmark
- Norway
- Austria
- Belgium
- Singapore
- United Arab Emirates
- Portugal
- Canada
- Switzerland
- Ireland
- Finland
- Morocco
- China
- Luxembourg
- Czech
- Italy
- Poland
- Romania
- South Africa
- Brazil
- Hong Kong
- India
- Estonia
- Vietnam
- Armenia
- Bulgaria
- Colombia
- Croatia
- Europe
- Lithuania
- New Zealand
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Business
- Mathematics
- Earth Sciences
- Linguistics
- Social Sciences
- Arts and Literature
- Education
- Chemistry
- Environment
- Materials Science
- Psychology
- Electrical Engineering
- Humanities
- Philosophy
- Physics
- Sports and Recreation
- Law
- 13 more »
- « less
-
(PyTorch, scientific Python) with solid experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image
-
Job Description Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 7 days ago
to develop your innovation and entrepreneurship skills at the cutting-edge of AI/ML and biomedical research? If yes, apply now of our 15-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by
-
? Please apply no later than 18 January 2026 via the application button and upload the … Where to apply Website https://www.academictransfer.com/en/jobs/356797/phd-position-in-deep-learning-f… Requirements
-
PhD project, the successful candidate will develop an open-source workflow using deep learning and hierarchical statistical models to streamline the data flow from acoustic recorders to ecological
-
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
-
and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
-
disciplines associated with geography, soil sciences, hydrology, civil engineering, or related discipline, with research expertise in geospatial AI, deep learning foundation models, hydrology, river science
-
biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical deep neural networks), multimodal vision and
-
– Resolution of appeals 16.01.2026 – 4:00 PM – Final results Additional comments We are seeking a PhD student in Machine and Deep Learning for Satellite Image Processing to join our team, who will be