46 maynooth-university-programmable-city-project PhD positions at University of Luxembourg
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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 techniques in the context
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. The project will involve significant collaboration, sample exchange, semiconductor and device characterisation. For more information on the position please contact Prof. Phil Dale phillip.dale@uni.lu or Prof
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activities in support of project management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix-jobs@uni.lu
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The Department of Law of the Faculty of Law, Economics and Finance of the University of Luxembourg is looking for a PhD candidate to conduct research in in the areas of criminal law and/or criminal
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The doctoral researcher will be working under the supervision of Professor Picard. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of Quantitative Urban and/or
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PhD project is encouraged. The successful candidate will be affiliated with the Institute for Research on Socio-Economic Inequality within the Department of Social Sciences in the team of Prof. Dr. Anja
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for validation approaches Become an active memberwithin the Institute of Advanced Science at the University of Luxembourg in which the project is hosted For further information, please contact Prof. Alexander
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The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and
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application to a PhD and your educational training that prepared you for academic research on the topic of the research project Publication list (if applicable) Two recommendation letters from previous
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is