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more than 150 staff members. It is one of the four constituent units of the Institut de Biologie Paris Seine (IBPS, FR3631), directed by Martin Giurfa. The unit is affiliated with UFR927 and the Faculty
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex molecular
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. Conduct structural, morphological, and chemical characterization of metal–zeolite composite materials. Collaborate closely with the project partners within the LIZA consortium. Contribute to the development
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | 2 months ago
on advancing the understanding of lanthanide and actinide materials and developing synchrotron-based methods for selective rare-earth recovery from nuclear and industrial waste in collaboration with six European
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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://igdr.univ-rennes.fr/ team-mitochondrial-biology-and-integration-with-the-cell-cycle) focuses on state-of-the-art methods and tools in quantitative fluorescence microscopy to study the spatiotemporal
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difference operators, our focus will be on a Fourier-space description of spatially periodic velocity fields, taking direct inspiration from Fourier pseudo-spectral methods used in standard DNS codes
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deep learning approaches, with a particular interest in developing methods capable of handling scarce or corrupted data, designing methods for specific imaging modalities, or understanding and
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equation via its Hamilton–Jacobi formulation, as well as its Carleman linearisation, with a view to analysing the solution to the linearised problem using quantum methods; • study of the viscous Burgers