132 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"P"-"BioData"-"U.S" positions in Luxembourg
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the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 101091960 Is the Job related to staff position within a Research Infrastructure? No Offer Description Fixed
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Applications should include: A copy of the academic degrees awarded and, where candidates are currently enrolled to an academic programme leading to a Master’s degree, the expected date
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Luxembourg Application Deadline 8 Oct 2026 - 06:30 (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
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Luxembourg Application Deadline 7 Oct 2026 - 02:31 (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
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expansion. The postholder will also have the opportunity to contribute to the construction of a projected new Master’s programme and to teach within the doctoral and lifelong learning programmes
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10 Oct 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Established Researcher (R3) Country
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Deadline 6 Nov 2026 - 09:47 (UTC) 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
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9 Oct 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Established Researcher (R3) Country
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clinical activity may be considered. Teaching: The holder of this position is expected to assist with the development and teaching in the Bachelor's programs in health (midwifery sciences, nursing sciences
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data) and working with databases. · Strong proficiency in Python, including object-oriented programming, testing, CI/CD, version control (Git) · Hands-on experience in data modelling