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: - Traiter, analyser et interpréter de données (signaux physiologiques plus particulièrement, utilisation de MATLAB et/ou Python) - Connaissance des techniques d'évaluation de neurophysiologie
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(Python, MATLAB) ou développement XR (Unity) ; les méthodologies d'essais cliniques (conception de protocoles, recueil et analyse de données auprès de populations âgées) seront particulièrement appréciées
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datasets (computational track) Solid experience with targeted, suspect, and/or non-target screening strategies Programming skills (e.g., Python, R, MATLAB) for processing and analysis of chromatography and
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or reinforcement learning, and good programming skills in Matlab and/or Python. You will have completed an undergraduate degree or MSc in a quantitative discipline. The Humphries’ group (https://www.humphries
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advantage Ability to implement numerical workflows in Python or Matlab Understanding of surrogate modelling or reduced order modelling (e.g. DMD, POD) is an advantage Ability to learn new methods quickly and
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other relevant areas Interest/knowledge in photonics or electonics Experience in nano/micro-fabrication is highly desired Programming skills (e.g., Python, Matlab) Ability to work as a team and
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Python and/or MATLAB. System evaluation using precision electronic measurements; and network, spectrum, and logic analysis. Development of multiplexed microwave and baseband signal and data acquisition
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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research environment, including participation in fieldwork. Strong attention to detail and a meticulous approach to data collection, recording, and management. Working knowledge of MATLAB and Python for data
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working