52 computer-security-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in France
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investments: oversee the overall budget for technological infrastructure (operation, maintenance and human resources), identify and secure external funding (antional and international grants, public-private
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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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The B3OA laboratory invites applications for a Research Associate (Chargé de Recherche) position. We are looking for an ambitious scientist ready to develop and lead an independent research program
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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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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) 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
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at the department integrates basic and translational, molecular and computational approaches with a focus on cancer biology, as well as clinical research projects in human health and disease. The DLSM cooperates with
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p x∈R y∈Rp where F is the outer objective and f is the inner objective. Solving such problems is challenging due to the need to compute gradients through
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Supervisors: Laure Blanc-Féraud (blancf@i3s.unice.fr), Xavier Descombes (xavier.descombes@inria.fr), Sebastien Schaub (sebastien.schaub@imev-mer.fr) Host institution: MORPHEME research group (INRIA, CNRS, I3S, Sophia-Antipolis, France) Collaboration: Luca Calatroni (Luca.calatroni@unige.it),...
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on Artificial Intelligence Organization, 2017. - C. 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