Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Sweden
- Australia
- Austria
- France
- Denmark
- Spain
- Norway
- Singapore
- Belgium
- United Arab Emirates
- Switzerland
- Portugal
- Czech
- Canada
- China
- Poland
- Ireland
- Morocco
- Romania
- India
- Luxembourg
- South Africa
- Finland
- 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
- Humanities
- Earth Sciences
- Environment
- Arts and Literature
- Psychology
- Electrical Engineering
- Linguistics
- Philosophy
- Materials Science
- Law
- Physics
- Sports and Recreation
- 13 more »
- « less
-
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
-
the PhD student using technics such as genome editing (CRISPR), RNA sequencing, use of primary samples, functional studies with various in vitro and in vivo mouse models. The research is also relevant
-
(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
-
on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description ELLIIT (https://elliit.se) is a strategic research environment funded by the Swedish government in 2010, as part
-
, are strongly encouraged to apply. Learn more about the ADM+S Centre here: https://www.youtube.com/watch?v=AkyZpYjxNBc To be successful for this position, you'll have: A PhD in a relevant discipline area, such as
-
Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
-
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
-
the Bavarian research network bayklif2 (https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international
-
(https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international networking, and a collegial working
-
future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire