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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 | 28 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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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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: image processing, statistical signal processing, information geometry, sparse signal processing, generative AI, unsupervised and meta learning, radar, GPU and FPGA, Arm processor. Research Group • ENSTA
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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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Université de Lorraine/Laboratoire LAE UMR1121 | Vand uvre les Nancy, Lorraine | France | 8 days ago
. Experience in: background in elucidating the structures of natural products using 1D and 2D NMR and HRMS, molecular network data processing and metabolomic statistical approaches, development and validation
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. - Experience with high-throughput sequencing, metagenomics or metatranscriptomic analyses of large-scale datasets. - Experience of data analysis, statistics and visualisation, for example in Python or R