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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 28 days ago
expérience préalable d'au moins un langage de programmation (Unix, Python) et d'un logiciel de statistiques multivariées (R, MatLab) est souhaitable mais pas indispensable. Une expérience préalable dans
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(preferably in Python, Matlab, R, or similar) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension
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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
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Experience in nano/micro-fabrication is highly desired Programming skills (e.g., Python, Matlab) Ability to work as a team and communicate effectively More Information Location: [[Kent Ridge Campus
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years of working experience in the field of integrated photonics and quantum optics Cleanroom fabrication experience Programming skills (e.g., Python, Matlab) Ability to work as a team and communicate
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, quantum optics, and microwave engineering Experience in nano/micro-fabrication is highly desired Programming skills (e.g., Python, Matlab) Ability to work as a team and communicate effectively More
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, computer science or a related field. 2. Proficient MATLAB, Python and/or R programming and data visualization experiences. Preferred Skills and Abilities 1. Previous experience with human scalp / icEEG
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to constructive feedback; Good communication skills for spoken and written English. Knowledge of Dutch is desirable but not mandatory; Strong background in programming, using MATLAB and/or Python or other relevant
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical