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will work on the construction of statistical physics models applied to biological systems. They will test them on biological data from several systems in collaboration with our experimental colleagues
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lines, but their performances were very dependent on the quality of the initialization [7-9]. Statistical Shape Models (SSMs) have been also recently introduced [6, 10]. Although SSMs do not require
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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
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We are offering a postdoc position on the development of statistical and tensor decomposition methods for representation learning of heterogeneous data with application to neuroimaging.Location
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | about 1 month ago
statistical learning solutions applied to anomaly detection and adapted to the types of data coming from the manufacturing process. The aim is to optimize quality control by detecting potential anomalies among
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neurodegenerative diseases such as Alzheimer's disease using multimodal data from large databases. Statistical learning methods applied to the data will help identify multimodal phenotypes of the considered
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12 Feb 2024 Job Information Organisation/Company Université de Lorraine Department Laboratoire de Physique et Chimie Théoriques Research Field Physics » Statistical physics Chemistry » Physical
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3 Apr 2024 Job Information Organisation/Company CNRS Department Center for Theoretical Physics Research Field Physics » Biophysics Physics » Statistical physics Mathematics » Applied mathematics
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through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Researcher in statistical modelling and
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with a strong background in statistics, machine learning, computational systems, biology or physics. The successful candidate should have experience in high-throughput data analysis in biology. Ideally