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LUXEMBOURG Department of Mathematics Campus Belval, Maison du Nombre 6 avenue de la Fonte L-4364 Esch-sur-Alzette Web Page: https://recruitment.uni.lu/en/details.html?id=QMUFK026203F3VBQB7V7VV4S8&nPostingID
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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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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 order to better
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area of machine learning. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing
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established, the research group focuses on understanding how genetic alterations in cancer cells shape the immune microenvironment of brain metastatic tumors, with the long-term goal of developing novel
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-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy
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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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shape the immune microenvironment of brain metastatic tumors, with the long-term goal of developing novel personalized immunotherapies for cancer patients with brain metastasis. The TCI group works at
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overcoming label scarcity. Tasks: Conduct interdisciplinary research on crypto-asset analytics and financial crime prevention Analyze blockchain data and develop innovative analytics methods Contribute
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; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing