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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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the scientific field of the competition. c) Previous experience in statistical analysis of time series and mixed models. d) Previous experience in processing and analysing physiological data (electrodermal
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on numerics and analytics, an interest in modeling, and a genuine interest in engaging in the biological system and working closely with our collaborators Job requirements Masters in Physics
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 29 days ago
the European Doctoral Network “A Coherent Analysis Framework for Emergence in Biological Systems” (CAFE-BIO) on the project “Proliferating active media”, which aims to investigate the interactions between
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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, the student will have the opportunity to: investigate the key scientific and engineering challenges involved in designing sorbents for electrochemical CO2 separation, including the analysis of existing
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). You will conduct research in one or more of the following topics Crystallization of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves
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the duration of 15 minutes, will be classified on a numerical scale from 0 to 100 points, applying the following parameters and criteria evaluation: a) ACS: Attitude and critical sense; b) MTV: Candidate
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numerical modelling to investigate vapour-liquid-solid phase transitions in aircraft exhaust plumes under controlled conditions, with particular relevance to emerging low-soot propulsion technologies such as