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interiors. This work will rely on large-scale atomistic simulations paired with machine-learning interatomic potentials. Duties: ● The postdoc will generate density functional theory reference data, use
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emerging methodologies. Collect, manage, analyze, and interpret experimental data using appropriate statistical approaches. Prepare manuscripts for publication in peer-reviewed journals and present findings
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, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial biogeochemistry and nutrient-cycling processes Strong communication skills
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biology, -omics, and clinical data to understand the dual role of ion channels in cardiac and metabolic physiology. We are also setting up a small clinical trial. We are a dynamic and international team
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on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning. The successful candidate will contribute to the activities of the Machine Learning & Data
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the framework of the SPIRou Large Programs. The goal is to exploit SPIRou data collected for a few tens of M dwarfs of various masses, to (i) study the radial velocity curves and filter out activity to unveil
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at the Canada-France-Hawaii Telescope (CFHT) since 2019 in the framework of the SPIRou Large Programs. The goal is to analyze existing and future SPIRou data for a number of T Tauri stars of various masses, ages
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in computational text and/or image analysis and processing platform data. Your future tasks
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project