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of experience in Matlab or Python. Must be proficient in CAD software for rapid prototyping. Required Documents Resume To be considered for this position please visit our web site and apply on line at the
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programmation (MATLAB, Python, ou équivalent) sont requises pour le développement et la mise en œuvre des modèles numériques. Une expérience en analyse de données, visualisation scientifique et traitement de
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design; Proven experience in data processing and visualization (Python or MATLAB). 5. Eligibility: Applicants are eligible if they comply with paragraph a) of no.1 of article 2, of the Research Fellow
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(e.g. PACT). Skills in data analysis (e.g. Python, MATLAB, ImageJ) will be considered an asset. Specific Requirements A scientific scholarship from the National Science Centre (NCN) may be awarded to a
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l'expérimentation Des compétences en traitement de données / programmation (Python, MATLAB ou équivalent) Une appétence pour les projets interdisciplinaires, à l'interface avec la biologie Des connaissances en
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• Programming skills (e.g., Python, MATLAB, R) • Experience with AI/ML methods or power system modelling Conditional Offer The award of the PHAETHON PhD Studentship is strictly conditional upon the candidate’s
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 7 days ago
candidate must have a solid background in computer science as applied to scientific research. Knowledge of scientific programming, particularly in Python and/or MATLAB, is highly valued, as is experience with
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, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python and/or MATLAB
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical
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experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty