18 computer-science-programming-languages-"the"-"U"-"UCL"-"IMPRS-ML"-"Prof"-"St" PhD positions in Luxembourg
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, please contact Dr. Maxime Cordy Your profile Master in Computer Science. Major in machine learning or software engineering is an asset Strong programming skills Strong analytical skills Industry experience
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Application Deadline 24 Sep 2026 - 10:03 (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
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27 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Luxembourg
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Application Deadline 24 Sep 2026 - 09:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Positions Country Luxembourg Application Deadline 31 Oct 2025 - 12:00 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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institutions within Luxembourg. The PhD student will be enrolled in the Doctoral School in Science and Engineering at the University of Luxembourg, and follow a vibrant PhD program that includes training in
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programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates (DCs) in a unique training environment to advance microbiome science through metaproteomics. The program
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote