84 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nature Careers in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
-
, computational mechanics, computer science, applied mathematics or similar Strong experience with deep learning, e.g. PyTorch, JAX, TensorFlow, and probabilistic methods Familiarity with graph neural networks
-
mathematical modeling, optimal control, and Bayesian optimization. Expected skills We are looking for a candidate with a Master 2 degree in physics, mechanical engineering, or applied mathematics. We expect a
-
) 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 of teaching and
-
) 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 of teaching and
-
) 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 of teaching and
-
paradigms for artificial control. Understanding how apparently intelligent behavior emerges without neurons raises fundamental questions at the intersection of biology, physics, and artificial intelligence
-
) 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 of teaching and
-
. Bouveyron, P. Latouche and R. Zreik, The Stochastic Topic Block Model for the Clustering of Networks with Textual Edges, Statistics and Computing, vol. 28(1), pp. 11-31, 2017 - C. Bouveyron, M. Corneli, P
-
Robotic systems operating in dynamic, human-centric environments require reliable perception capabilities to ensure safe navigation, effective interaction, and long-term autonomy. Accurate spatial and temporal understanding is essential for anticipating human behaviour, responding to...