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Field
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and closed-loop automation systems. Co-authorship on a scientific publication. Prior experience or undergraduate-level coursework with a basic programming language for data analysis (Python, MATLAB, R
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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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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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communication and organisation, with demonstrable ability to meet deadlines. Confident in statistical analysis with R/Python/Matlab or similar Specific Requirements Strong research profile in field aquatic
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: Experience in deep learning, machine learning and medical imaging processing Programming experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent verbal and written
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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
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: Processing biomedical images of different structures of the human eye using specialized software (Matlab, Python). Data handling using statistical software and Excel. Experimental measurements in
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. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer-reviewed journals and present findings at national and international
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. • Bonnes compétences en programmation en Matlab ou Python : les données à analyser nécessiteront de bonnes compétences en traitement du signal (chants d'oiseaux et activité neuronale). • Maîtrise de
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(AFM, NanoIR, confocal, etc.) and spectroscopic techniques; Strong skills in scientific instrumentation (optics, mechanics, electronics) and/or data processing (Python, Matlab, etc.); Methodological