52 postdoctoral-image-processing-in-computer-science-"EPIC" PhD positions at University of Luxembourg
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learning models) in these tasks. These investigations include the feasibility, practicality and success evaluation of prototype implementations. More generally, the PhD thesis is part of a large initiative
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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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should possess an M.Sc./M.Eng. degree in one of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering or Computer Science/Engineering. Experience: The candidate
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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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, please contact Dr. Maxime Cordy Your profile Master in Computer Science. Major in machine learning or software engineering is an asset Strong programming skills Strong analytical skills Industry experience
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27 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Luxembourg
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, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in
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projects (indicated by P1,…,P5 here https://ogy.de/0bdy ) of interest (in order of preference). Early application is highly encouraged, as the applications will be processed upon reception. To ensure full
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and Engineering at the University of Luxembourg, and follow a vibrant PhD program that includes training in transferable skills, support for career development, lectures and teaching by international
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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