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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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/NS3, supported by strong software programming skills in either Matlab, Python, or C/C++. Selection process Selection criteria: Curricular evaluation (100%) - the evaluation of the application will focus
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
she must have strong proficiency in Python and/or MATLAB, R or related software for data analysis and other software for statistical and mathematical modeling with evidence of codes in public
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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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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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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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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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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