858 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" positions in Sweden
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Field
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:00 (UTC) Country Sweden Type of Contract Permanent 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
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:59 (Europe/Stockholm) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PA2026
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) Application Deadline 4 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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) Application Deadline 4 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Profile Recognised Researcher (R2) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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statistical skills (R preferred). Practical experience working with farm animals, ideally pigs. Ability to independently plan and conduct research, manage fieldwork, and collaborate within multidisciplinary
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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benefits for Ph.D. students in Sweden apply to this position. The Ph.D. student will develop an individual study plan in mechanical engineering together with supervisors. The position may include up to 20
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Sciences (BKV ). MMV and CSAN carry out research, undergraduate and postgraduate education within Health Sciences. The employment When taking up the post, you will be admitted to the program for doctoral
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux