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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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(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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• 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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, neuroscience, electrical engineering, or a related field, hands-on experience with neural recording and/or stimulation techniques, signal processing, and data analysis (e.g., MATLAB or Python), experience
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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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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
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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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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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and simulation studies for power systems. Perform data processing, numerical analysis, and validation using programming tools (e.g., Python/MATLAB). Contribute to technical reports, research