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at the University of Luxembourg. The doctoral researcher will develop an original research project leading to a PhD thesis and is expected to actively contribute to the scientific activities of the research group
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letter Master/Bachelor thesis and list of publications (if available) Names and contact information of two references Transcript of records of all university-level courses Early application is highly
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coursework in the first year and for the remaining, up to five years, work on research projects that will make up the final thesis. The first year of the Ph.D. programme corresponds to the Master in
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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the remaining, up to five years, work on research projects that will make up the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All
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of results at conferences and consortium meetings Your profile Required qualifications: Master's degree in life sciences, neuroscience, or related discipline Strong motivation for experimental biomedical
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publications and conference presentations For further information please contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics
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into active learning frameworks Explore automated dataset generation for molecules and materials Contribute to open-source tools for automated MLFF training Your profile Essential qualifications: Master's
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strong interest in trustworthy software engineering and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial
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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems