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Field
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, robustness under varying turbulence, and autonomy for distributed systems. To address this, the group integrates Artificial Intelligence into AO control loops, using deep learning to handle sensor
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A post-doctoral position in human population genomics is opening in our lab to work on the POPGEN project. The POPGEN project is a pilot research project developed in the framework of the French Genomic Medicine Initiative to provide reference data on genomic diversity and allele frequencies in...
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
immunology, with expertise in T cell/B cell interactions and/or vaccinology an expertise in advanced cytometry a strong motivation to learn organ-on-chip technologies a track record of publications in relevant
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, France, is seeking to appoint a postdoctoral researcher in the volcanology group. The successful candidate will work in collaboration with geophysicists (Valerie Cayol, Anne Barnoud and Lydie Gailler) and
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Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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of Regenerative Medecine and Biotherapies (IRMB-U1183) in Montpellier, France, is seeking to recruit a full-time Postdoctoral Research Fellow to join an ambitious project : ESCALATE. The goal of ESCALATE project
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. Objective This postdoctoral research aims to develop and implement a robust optimization framework for strategic fleet renewal planning under deep uncertainty. The overall goal is to support decision-makers
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the hardware and software conditions under which this approach is both relevant and practical. The recruited postdoctoral researcher may be required to travel to France for meetings or to present the results
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copolymers, which will then be evaluated for their degradability and mechanical properties. Using active learning, a branch of AI, the research will be guided through the large parameter space of copolymers