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broader Paris research ecosystem. Candidates must hold a PhD or MD/PhD. Applications should be submitted as a single PDF including a two-page CV with selected publications, a research summary and future
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of the biological bases of normal and pathological behaviors. Required Qualifications: PhD or equivalent experience in neuroscience, computer science, engineering or a related field. Proven experience in
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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and international research funding. • Strong ability to collaborate with fundamental or clinical research teams. PhD or MD/PhD candidates with no permanent position in France may also apply to the ERC
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine
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to the lithographic process such as overlay; - Interact and work with a PhD student focusing on the data modeling to understand the acquired data and explore the limitation of the Low Energy SAXS technique; - Define
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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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to and support scientific communication activities (e.g. websites, presentations, posters, press, and general public) Key Skills, Experience and Qualifications Master or PhD in a relevant scientific
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis