21 master-"https:" "https:" "https:" "https:" "Adolescent Health Study (AHS)" PhD positions in Luxembourg
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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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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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: UOL08047 The yearly gross salary for every PhD at the UL is EUR 41976 (full time). Where to apply Website https://www.aplitrak.com/?adid=UmVjcnVpdGluZy42MDA4MS45OTA4QHVuaXZlcnNpdHlvZmx1… Requirements
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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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. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
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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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! ESRIC is conducting activities in three main areas: Research and testing facilities, Business support and incubation, and Community management. The primary objective of ESRIC is to research, develop and
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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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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
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to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance the state-of-the-art