375 associate-professor-computer-science-"https:"-"https:"-"https:" positions in France
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- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Inria, the French national research institute for the digital sciences
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- Institute of Materials Science of Mulhouse, IS2M
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- LSPM , CNRS 3407
- Laboratoire de Chimie Théorique, Sorbonne Université & CNRS
- Lisaqua
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- Université Gustave Eiffel
- Université Paris-Saclay GS Physique
- Université de Bordeaux
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Field
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(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
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) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic
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Description of the offer : Two-dimensional materials and van der Waals heterostructures offer unprecedented opportunities to engineer electronic and spin-dependent properties through proximity effects. The main goals of the project are to quantify spin-orbit torques and spin-charge...
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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, genomics, epigenetics, RNA biology, computational biology and AI, cell biology, developmental biology, cancer biology immunogenetics and infectious diseases. The IGH welcomes outstanding candidates at all
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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
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, 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
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