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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 3 months 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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, statistics, physics, biostatistics, bioinformatics or computer science.Type of contract: Temporary.Job status: Full-time.Duration: 36 months.Application deadline: 15/05/2024 23:59 - Europe/Brussels.Envisaged
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and experimental and clinical oncology, is committed to develop novel methodologies combining mechanistic and statistical modeling to be ultimately applied at bedside. The PhD theme and datasets The aim
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or equivalent Skills/Qualifications Masters in statistics or biostatistics or applied mathematics, At least level C in English, Good communication skills in English, Coding in R or/and Python, knowledge in
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in the Ra2DW project and benefit from stays in NTU, conferences participation, and exchanges with the International Advisory Board. Background in environmental sciences, physics, statistics or related
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, conferences participation, and exchanges with the International Advisory Board. Background in environmental sciences, physics, statistics or related topics; and good programming skills would be appreciated
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, computational modeling, fundamental physics, biophysics, statistical mechanics, molecular modeling, basic cell biology, bioinformatics. Working knowledge of Linux/Unix, C/C++/Fortran, Python is a title of
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to follow the corresponding chemical reaction, 2) rheology to follow the change in mechanical properties (elastic modulus and yield stress) and 3) video imaging to characterize the foam structure (statistics
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[4]. The total cross sections can be mapped to the statistics of the extreme values of this process [4]. The genealogies of extreme particles [5], the detailed study of which is the subject of this