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computer science and information system engineering while collaborating in a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and build a robust anonymization
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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(FSTM) 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
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, and pitch decks Participate in strategy development for the formation and early growth of a spin-off company Your profile A Master's degree or PhD in Computer Science, Machine Learning, Electrical
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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(FSTM) 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
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of research funding Your profile The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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Company description The lab of Prof. Nicolai consists of a team of young, dynamic and enthousiastic researchers that investigate processes and technology for improving quality of fruit and
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(FSTM) 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
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between information systems, computer science, and energy markets Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant