33 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "ISEP" uni jobs in Switzerland
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diversity, equality, inclusion, and sustainability (max. 0.5 page) • a list of publications and other research outputs, including dataset, code, etc. • a copy of their PhD certificate Please note that page
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) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile
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code, projects, etc) Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further
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community Contribute to R data publication packages washr and fairenough Profile You care about data and code being concise and easily reusable You know how to use standard data science tools (Git, GitHub, R
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mechatronics systems is a plus Excellent coding skills in python, ROS, and RL&IL pipeline experience on simulator and training libraries. Knowledge on C++ is a plus Experience with Physics simulators such as
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related field Solid background in physical optics, experience in interferometry and/or cryogenic optics is an asset Extensive experience with optical design and simulation tools (e.g. Zemax, Code V, FRED
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programming skills (ideally Python) and commitment to clear, reproducible, well-structured code Working knowledge of SQL and/or NoSQL databases (and motivation to deepen your expertise) Strong analytical
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(e.g., qualitative coding, statistics, simulation, ML) Publish results in peer-reviewed venues (conferences/journals) and contribute to paper writing Support lab operations as needed (maintaining
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disseminated through open-source code and scientific publications. Start: As soon as possible (applications reviewed on a rolling basis) Duration: 6 months (extendable) Job description Apply computational and
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environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive