162 computer "https:" "https:" "https:" "https:" "University of Cambridge" positions in Luxembourg
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2027 - 10:44 (UTC) Country Luxembourg Type of Contract Permanent 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 University’s mission in academic continuing education, staff development and training for Luxembourg, with strong expertise in digital learning. Reporting to the future Head of ULCC, the Study Programme
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://doi.org/10.1038/s44320-024-00036-7 ; and https://doi.org/10.1016/j.cell.2016.10.043 . The Post-Doctoral Researcher will participate in an exciting bed-to-bench-to-bed translational research program
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-to-bench-to-bed translational research program in the ‘Nutrition, Microbiome and Immunity’ group (https://eim.lih.lu ) headed by Dr. Mahesh S. Desai. Key Responsibilities Conduct research project with
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2027 - 04:15 (UTC) Country Luxembourg 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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research results in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and
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We seek a highly motivated AI scientist, biostatistician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific
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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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Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
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The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function