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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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(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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Shareloc and ImJoy (Ouyang et al., Nat. Methods 2022; Ouyang et al., Nat. Methods 2019), offers an ideal environment for creating tools that unite cutting-edge computation and biology. As part of the ERC
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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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of technological investments: oversee the overall budget for technological infrastructure (operation, maintenance and human resources), identify and secure external funding (antional and international grants, public
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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 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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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