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anticipate risks by integrating all human, technical, and organizational factors into a dynamic model of the OR. This project will be developed within the ICARE team (Artificial Intelligence, Computer Science
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Master's degree in Epidemiology, Public Health or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma; Experience in working
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master’s degree in mathematics, physics or informatics with a strong knowledge in machine learning. Skills: Coding in Python and/or R is required. Previous knowledge in archaeology and zoo-archaeology would
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to the ontogeny of health and disease. This project was selected for funding by the ERC-CoG-2024 call and the Impulscience program from fondation Bettencourt Schueller.
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We are looking for a candidate with a Master's degree, Engineer's degree or PhD in computer science, junior or senior, to join a team responsible for the packaging, deployment, and testing
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nature. 🚀 Want to be part of the adventure? Apply now and put your energy at the service of research and innovation! -Master in Biology / Cell Biology / Bioengineering / BioChemistery / Microfluidics
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greater sensitivity. Nature and purpose of the teaching project Your teaching will be divided across two disciplines: Microbiology (32h) and Chemistry (16h). These disciplines will be taught in the various
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topological textures. A wide range of applied functionalities could be considered: terahertz sources, unconventional computing and AI, security components, telecommunications, sensors, memories etc.
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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their daily activities and acquiring quality images in service mode. LIH provides access to continuous training to stay up-to-date with the latest technology advances. Key Skills, Experience and Qualifications