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, international, and highly collaborative Institut Pasteur/CNRS Unit, recognized for pioneering method development in top-down and structural proteomics applied to microbial virulence. You will join a team of
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an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches In-depth qualitative and immersive fieldwork conducted by the geography team A key
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of the methods. The project is carried out in close collaboration with Helical-AI, an industrial partner specialized in large-scale genomic foundation models and HPC-enabled model deployment, ensuring
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track record on one of the following research areas: Trustworthy AI AI for formal methods Formal methods for AI The successful candidate will participate in the activities of the research group led by
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hypothesized to exist at the base of the lithosphere beneath the French Massif Central and the Pyrenees. Thermometric analyses of mineral assemblages (e.g., olivine-bearing basalts) will be used to estimate
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physics, engineering or related fields. Solid background in aerodynamics, vortex dynamics and possibly two-phase flows. Experience in theoretical stability analysis and use of asymptotic methods. Knowledge
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal
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, computational mechanics, computer science, applied mathematics or similar Strong experience with deep learning, e.g. PyTorch, JAX, TensorFlow, and probabilistic methods Familiarity with graph neural networks
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cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus, IINS is one of the major
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HTML user interface for visualising the final data resulting from the screening. - Contribute to the development of an original method for searching for pharmacophores based on raw data from virtual