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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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the experimental part of the project by contributing (i) to the experimental measurements and (ii) to the various methods of analysing the data obtained. The post-doctoral researcher will be a member of the
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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics
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by anion exchange (carbonation) and ion chromatography - Characterisation of natural samples containing layered double hydroxides using electron microprobe, spectroscopic methods (Raman, infrared) and
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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
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manager is Sabine Rode. The recruited researcher will simulate flows within membrane modules using ANSYS Fluent computational fluid dynamics software. He or she will study the nature of flows and solute
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of damaged genomes which is the major source of point mutations, and the initiating cause of cancer. The team has developed a method to introduce a single lesion in the genome of a living cell (bacteria and
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conduct directional freezing experiments coupled with confocal microscopy to study the freezing stability of soft objects. They will develop methods for the preparation and physicochemical characterization