78 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at Nature Careers in France
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), is a transdisciplinary initiative at the intersection of biomedicine and digital sciences. The programme aims to develop translational research based on the integration of multi-omics data. In
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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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Benoît Miramond, benoit.miramond@univ-cotedazur.fr Université Côte d’Azur / LEAT, Sophia-Antipolis, France The laboratory: Benoît Miramond is Full Professor in Electrical Engineering at LEAT
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of this project, you will have developed deep networks in both the quantum and healthcare industries to ideally position yourself for the transition to your next role. The Quantum Program Manager position offers
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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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MSCA Postdoctoral Fellowships @Sorbonne Université and its Alliance partners - Call for Applications
or applied fields, you are invited to apply to this programme with our acclaimed researchers for an opportunity to work on and develop your ideas in an exceptional research environment with the 1st ranked
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role The University of Luxembourg (UL) invites applications for a postdoctoral researcher position within the Department of Computer Science (http://dcs.uni.lu ). The candidate should have a research
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massive heterogenous data using information extracted from all data types, in particular in the context of unsupervised learning. The purpose of this Ph.D position, within the Institut 3IA Côte d'Azur (Univ
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researchers in the implementation of their research programme at the host institution. (https://www.fnr.lu/funding-instruments/pearl/) Your Profile… Outstanding track record in the field of translational
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607