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stresses. Scientific objectives : This thesis is part of Axis 2 of the project, which aims to propose a mean-field method for estimating the effective properties and statistical fluctuations of local fields
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Jordan laboratory, UMR CNRS 5208, in Villeurbanne (Université Claude Bernard Lyon 1). He will be a member of the Statistical Probability and Mathematical Physics team and will participate in
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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | 17 days ago
21 May 2024 Job Information Organisation/Company Ecole supérieure de physique et de chimie industrielles de la ville de Paris Department Team Biophysics and Evolution Research Field Engineering » Other Biological sciences Researcher Profile First Stage Researcher (R1) Country France Application...
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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 2 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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. Required skills include data analysis, proficiency in statistical and computer tools, climate modeling, risk modeling, and literature research. In terms of soft skills, autonomy, critical thinking
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experience with running experiments on adults and/or adolescents. Proficiency in statistical and/or data processing (Matlab, or other). Fluency in spoken and written French (level > B1 of the European
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Degree or equivalent Skills/Qualifications - Masters degree in biostatistics, epidemiology, public health or equivalent with good knowledge in statistics - Experience in statistical analyses using R
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analysis and models of statistical mechanics among the laboratory. The thesis will lie in probability, more specifically at the crossroads of stochastic analysis and models of random interfaces. We will
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into zebrafish tail motion, so behavior.We will explore different methods of quantifying casual information transmission that link neural encoding and zebrafish behavior. We will look for statistical signatures