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the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its
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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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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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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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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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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
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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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dosimetry, statistical modeling of exposure, stochastic dosimetry and artificial intelligence, influence of network technologies and architectures on exposure, standardization of exposure assessment methods
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
consideration (e.g. an aircraft) to produce a hierarchical partitioning of the (dense) matrix of the linear system. Most of the matrix blocks thus created are numerically low-rank, and can therefore be stored in
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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