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the Luxembourg National Research Fund (FNR) or the European ERC programme). A proven track record in securing or applying for such funding will be considered a key selection criterion. Language requirements
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) Country Luxembourg Application Deadline 7 Oct 2026 - 02:36 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Application Deadline 13 Oct 2026 - 09:33 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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the Luxembourg National Research Fund (FNR) or the European ERC programme). A proven track record in securing or applying for such funding will be considered a key selection criterion. Language requirements
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the Luxembourg National Research Fund (FNR) or the European ERC programme). A proven track record in securing or applying for such funding will be considered a key selection criterion. Language requirements
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Deep Digital Phenotyping (DDP
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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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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 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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) 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