74 data-"https:"-"https:"-"https:"-"https:"-"Aix-Marseille-University-" positions at Nature Careers in France
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live in. Your role As a Research Data Specialist, you will support researchers in managing data across the research lifecycle. You will implement FAIR-compliant RDM strategies and collaborate with data
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bridging disciplines and fostering collaboration between researchers, policymakers, and society. Your role Develop innovative methods for visualising complex environmental and socio-spatial data Analyse
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of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact through text
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Call for expression of interest SENIOR OR MID-CAREER RESEARCHERS IN ARTIFICIAL INTELLIGENCE, DATA SCIENCE AND COMPUTATIONAL SCIENCES AT THE PARIS BRAIN INSTITUTE PARIS, FRANCE The Paris Brain
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production of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact
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JUNIOR GROUP LEADERS IN ARTIFICIAL INTELLIGENCE AND DATA SCIENCE AT THE PARIS BRAIN INSTITUTE PARIS, FRANCE Call for applications The Paris Brain Institute - Institut du Cerveau is an
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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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of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Optical fiber, in addition to being a means of transmitting information, is also a
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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