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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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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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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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The Faculty of Science, Technology and Medicine is seeking a dedicated and innovative Software Developer with expertise in Moodle to join our Faculty of Science, Technology, and Medicine (FSTM). This position is pivotal in advancing our strategic goals in international academic collaboration,...
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anonymization Conduct interviews with the involved stakeholders Disseminate results through scientific publications in outlets on the intersection between information systems, computer science, and energy markets
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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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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Socio-Environmental Systems strives to grow into an internationally recognised research hub for a sustainable and equitable world. Our...
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research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry. The PhD candidate will engage in
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an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social