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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 27 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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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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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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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
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
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, problem solver, and programming skills for Python and Matlab are preferred Experience in similar environments with industrial collaborations or public-funded research projects is highly desirable Fluency in
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) Proficiency in scientific programming using Python, with experience in Matlab and/or R considered an asset. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience in