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to the continuous improvement of the university’s data engineering capabilities and platform strategy
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The ERC Synergy project ALCEMIST (lcsoftmatter.com/alcemist ) challenges the conventional engineering mindset of using motors to drive passive structural components by developing innovative
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Applications should include: Curriculum Vitae (including work experience, list of publications) Cover letter indicating the research area of interest and your motivation Research statement Early application is highly encouraged, as the applications will be processed upon reception. Please apply...
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to...
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The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). We seek a candidate with expertise and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The...
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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of computer science, cryptography. All positions are fully funded for up to 4 years. Candidates should have (at the beginning of the contract but not necessarily at the time of application) a Master's degree in
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University of Luxembourg, Faculty of Science, Technology and Medicine (FSTM) Position ID: FSTM -ASSPROFMATH [#26747] Position Title: Position Type: Tenured/Tenure-track faculty Position Location
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science