48 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at EPFL in Switzerland
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information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) Opportunity to perform state-of-the-art research in
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an interdisciplinary environment We offer A stimulating and international working environment Excellent working conditions and competitive salaries (see https://www.epfl.ch/campus/services/human-resources/en/basic
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software which will contribute to achieve CIBM strategic objectives https://cibm.ch/the-center/ Main duties and responsibilities Liaise with the IT services of partner institutions (CHUV, UNIL, EPFL, UNIGE
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is responsible for the design, implementation, operation and continuous improvement of the technical infrastructure supporting the Genome of Switzerland programme. The position ensures the efficient
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to someone who enjoys taking ownership of their work and contributing actively to the progress of a research project. Main duties and responsibilities Plan and execute daily experimental work in coordination
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(or equivalent) in neuroscience, neuroengineering, computation, or a closely related field, such as EPFL's Neuro-X Master's programme. Excellent academic results and relevant coursework in translational
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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Program, creating value for participating companies while strengthening long-term engagement with EPFL. Main duties and responsibilities Foster trustful relationship with a portfolio of companies having a
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-term sustainability and the local appropriation of the DOUV. Integrate the data produced by WP1, WP2 and WP3 into the tool; programme the automatic ingestion of Sentinel-2 imagery and the recalibration
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Proficiency in scripting and programming (Python, Bash, Git) We count as an advantage your possible experience with (optional technical skills): Experience with Sensitive Data environments (Trusted Research