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, impacts, or resilient system design. Proficiency in programming (e.g., Matlab/Simulink, Python, ROS) and embedded sensing. Good analytical skills, ability to design experiments and prototypes, familiarity
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and experience • Excellent scientific communication skills. • Fluency in written and spoken English. • Knowledge of software development tools and environments: Python. • In-depth scientific
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development tools and environments: Matlab and/or Python. • In-depth scientific knowledge of optimisation and/or reinforcement learning techniques. Desirable skills, knowledge and experience In-depth
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Appl Deadline: 2025/12/19 11:59PM (posted 2025/11/04, listed until 2026/05/04) Position Description: Apply Position Description Description: The LAPTh (CNRS/USMB) invites expressions of interest for a
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, extraction, compound purification (flash chromatography, HPLC), structural identification of compounds (NMR, MS), metabolomics. Additional knowledge of R and/or Python is an asset. Cross-disciplinary skills
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of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality
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, Python, LabVIEW, or similar tools). Soft skills: Capacity to work independently while contributing to a collaborative and interdisciplinary team. Strong analytical and problem-solving skills. Good written
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languages: C, C++, Python... o Practical experience on robotic platforms is highly appreciated. o Autonomy and teamwork. o Writing skills in French and English. Additional comments IMPORTANT Candidates must
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., Python, R, MATLAB, or similar) are desirable. Ability to work independently as well as collaboratively in an interdisciplinary and international research team. Good command of written and spoken English
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the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real biomedical datasets. The role requires the ability to effectively