Sort by
Refine Your Search
-
with neuroimaging, numerical mathematics, optimization, inverse problems, software development, motivation and research interests. The location for this research will be the workgroup of Prof. Dr
-
. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
-
To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent to physics, mathematics, or molecular biology. But more importantly, the candidate should
-
of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based
-
PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical