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7 Oct 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Application Deadline 6 Oct 2027 - 03:00 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job...
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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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are curious, creative, and motivated to learn new skills and apply innovative approaches to solve scientific challenges. You communicate effectively in English, both orally and in writing, and maintain
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16 Jul 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Application Deadline 15 Jul 2027 - 12:44 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job...
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28 Jul 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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Researcher (R2) Positions Postdoc Positions Application Deadline 1 Nov 2026 - 01:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date
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(R2) Positions Postdoc Positions Application Deadline 31 Aug 2026 - 00:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1
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sequencing and spatial transcriptomics data from active clinical trials through the group of Prof Tejpar will put the postdoc in an ideal position to understand how the stromal interactions change under
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across Europe. At the core of EVITA is a Competence and Qualification Framework (CQF) that connects HPC skills, modular training content, courses and personalised learning pathways. The project is also
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of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing