399 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Sweden
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infrastructure and the Data Driven Life Science (DDLS) research program. The Data Centre has a national assignment and operates a range of life science data and e-infrastructure services. It also works with
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to work on enabling groundbreaking, data-driven Life Science
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
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related field (for thepolicy-focused position). Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Chalmers University
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to work on enabling groundbreaking, data-driven Life Science
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clinical specialists at Skåne University Hospital. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses
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targets. More information about the group's research is available at https://pietraslab.com/ and https://bsky.app/profile/pietraslab.bsky.social . As a workplace, we prioritize a positive working
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position. Your main work tasks will be Plan and execute industrial beamtime at the CoSAXS beamline, supporting users throughout the entire process — from experimental setup and data collection to analysis