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(e.g. Europe). Candidates should have solid experience of large spatial and temporal datasets, their manipulation and the implementation of statistical and empirical models on such datasets
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The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc
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Loire. Four teams represent the main topics of the lab : Theoretical Physics - PDE, Modelling, Simulations - Probabilities, Algebra, Combinatorics, Ergodic Theory, Statistics - Analysis and Geometry
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of molecular tools and/or electrophysiology and/or multiphoton calcium imaging. A thorough knowledge of the insect's brain is also necessary. The ability to analyze signals and statistically process the data
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, curious and highly motivated person for this 18-month post-doctoral position. The successful candidate should have expertise in a cross section of AFM, soft matter, statistical physics, physical chemistry
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, and a strong foundation of knowledge in one or more of the following: genomics, cancer biology, statistics. Excellent computational skills as well as experience with high-throughput data analysis in
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language processing (NLP) skills; - Solid data science foundations; - Ability to use statistical software applications (R and Python are mandatory) to develop analytical tools and predictive models; - System
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measurements, including experience with UV-VIS spectrophotometer (for absorption) and radiometer (for reflectance) measurements. Strong statistical skills and knowledge: proficiency in applying statistical
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dedicated to the project and will integrate his.her work within the context of the international research team underlying HorsePower. S/he will be in charge of carrying out computational and statistical
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background in integrable systems, statistical physics, and particularly in generalized hydrodynamics. They should also have a solid experience in numerical simulations. Website for additional job details https