38 engineering-computation-"https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in Luxembourg
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outreach activities of LIST Is Your profile described below? Are you our future colleague? Apply now! Education · A Master’s degree or Engineer diploma in Computer Science, Artificial Intelligence
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Temporary contract | 24 months | Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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the study of software engineering methods and approaches for quantum computing platforms. Successful PhD candidates will extensively explore and develop software security and software engineering techniques
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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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usual way of working and the language of communication is English. Our current team members are spread across three universities (University of Luxembourg, Eindhoven University of Technology, and
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within the project AI4TECS Writing a doctoral dissertation in computer science Publishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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Alzheimer’s and Parkinson’s. You will work within a multidisciplinary environment alongside data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI
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group with broad research competences and interests, with expertise covering mathematics, engineering, computer science and social sciences. We offer excellent working conditions in an international and
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computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our
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(supervisor) The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large