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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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research team presented below have been identified in this regard. Main Research Field Information Science and Engineering (ENG) Research sub-field(s) Networking, Modeling, Statistical tests Keywords Network
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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 29 days ago
mathematical and signal processing background, with strong skills in Matlab/Python. Knowledge on: GNSS; estimation theory; statistical analysis; are a plus. Demonstrated interest in remote sensing, GNSS, signal
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or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in
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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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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Jouy en Josas, le de France | France | about 1 month ago
the need for the exhaustive analysis of each biomass. In the VARIOUS project, we propose to use statistical physics, already used by the ECN, to design non-renewable materials. The Junior Professor will
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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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Context: The rising cost of drug development – a phenomenon known as Eroom’s Law – is a call for innovation. Over the past decade, the statistical genetics community discovered thousands of variant
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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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insights into the statistics of seismicity. It is also likely to have an impact on current seismic hazard practices. Supervision The supervisory team will be made up of S. Durand (LGL-TPE, Chargée de