316 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" uni jobs in Sweden
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- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
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- University of Skövde
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Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in some of the following areas: programming, optimization. What you will do Take courses at an advanced
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geometry, computational methods for stochastic (partial) differential equations, random fields, programming, mathematical statistics. What you will do Take courses at an advanced level within the Graduate
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Profile Leading Researcher (R4) Country Sweden Application Deadline 31 Jan 2026 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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(UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program
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Researcher (R2) Country Sweden Application Deadline 16 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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-time Is the 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 Job
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well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en/organisation/liu/ida You will belong to The Embedded Systems Laboratory (ESLAB), read more at https
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes