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, convolutional architectures and surrogate modelling for physical systems Solid understanding of PDE-based models or the motivation to acquire this knowledge Experience with real-time or edge deployment (CUDA
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partners to help establish a high-level independent research profile. REACH-UPPA Post-Doctoral Researchers (PDRs) will benefit from being part of an outstanding academic community, combining research
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Information Eligibility criteria - PhD in astronomy, computer science or related fields - Proficiency with several of the following languages / programming models: C/C++, Python, CUDA, OpenMP, MPI, PyTorch
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the last part of this post-doc position, the candidate will address environmental risks to which raw materials supply chains are faced; i.e. making a bridge between the outcomes of this work on global and
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. Main activities: - Manage patient sample blocks from three cohorts (over 36 samples), includingstorage, labeling and tracking. - Use cryostat to section frozen samples and prepare histology slides. - By
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labeling accuracy as an intrinsic dimension of quality, resulting in structured and repeatable quality reports. Instantiate and validate the framework on several existing NIDS datasets (public datasets as
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Energy Transfer) - Genetic code expansion strategy to specifically label proteins - Image analysis - Programming - Wet lab activities (biochemistry, cell and molecular biology) Our group at the Center
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performed in UMR1011, a research unit affiliated to the laboratory of excellence-labeled European Genomic Institute of Diabetes (EGID), INSERM, Institut Pasteur de Lille, CHU de Lille and Lille University
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, experimentation and modelling. The research aeras are structured through 4 main unifying themes: Interiors of the Earth and Planets, Natural Hazards, Earth System and Origins. The IPGP is in charge of labelled
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environment. The team is part of the Laboratory of Cognitive and Computational Neuroscience (LNC2). This position is part of the ERC Synergy Chronology project, a collaboration with the experimental teams