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of wave equations. Proficiency in numerical implementation and computational methods will be appreciated. Candidates with a PhD in semiclassical analysis who are keenly interested in numerical analysis
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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
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live in. Your role Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Conduct numerical simulations and research experiments
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the "gravitational waves" team at L2IT, and Sylvain Marsat, a researcher in the same team. The research topic is flexible depending on the candidate's profile; possible topics include exploring data analysis methods
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, the successful candidate will focus on generating iridescence effects tailored to the requirements of our industrial partners. Furthermore, they will employ numerical methods to elucidate the light-matter
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, itself part of the LIGO-Virgo-KAGRA consortium, has established a recognized expertise in the theoretical modeling of ultra-dense stellar matter and the development of advanced statistical methods
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space or geophysics Advanced knowledge of numerical methods Python programming written/spoken English Ability to work in a team Knowledge of project management Where to apply Website https
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/knowledge : Good knowledge of theoretical physics, including both analytical methods and numerical methods for quantum many-body physics. Operational skills/expertise : Ability to perform advanced
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, biochemistry, or related disciplines Experience with at least two of the methods mentioned above Very good organizational skills, attention to detail, persistence Fluency in English is required We offer