41 assistant-professor-computer-science Postdoctoral positions at University of Luxembourg
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Applications should include: Cover letter indicating your motivation for this position, relevant experience and future interest Curriculum vitae List of publications and projects Copies of diplomas Early application is highly encouraged, as the applications will be processed upon reception....
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science
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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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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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Applications should include: Curriculum Vitae Cover letter A copy of the PhD diploma or a letter indicating the expected defense date Copy of a publication The name, current position and relationship to the applicant, of one referee Early application is highly encouraged, as the applications...
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The successful candidate will work under the supervision of Professor Dr Martin Stierle, with the main task of preparing a doctoral thesis in the field of IP law. In addition, the doctoral candidate
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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students and the broader public For further information, please contact Prof. Eva LAGUNAS at or Dr. Vu Nguyen Ha at vu- . Your profile A Ph.D. in Electrical/Computer Engineering, Computer Science, or a
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science
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Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, Self-Supervised and Few-Shot Learning – and their integration into wireless communications and edge computing