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grounded in empirical data, model-based analyses, or a combination of both. The ideal candidate will have: A PhD in a relevant field (e.g., environmental science, climate science, bio-geography) A strong
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. Its human size fosters close interaction between students and lecturers, creating a personal atmosphere. With 1,600 members of academic staff for 6,700+ students and 1,000+ PhD candidates, students feel
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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into the biology of adaptive immunity against cancer. The candidate is expected to have: A specialist training in bioinformatics at M2/Msc level, grandes écoles or PhD level. Interest for methodologies related
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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with information on past human-non-human mammal relationships, paleoenvironments, past animal populations (biology) and on the subsistence economy of ancient societies. Such remains mainly correspond
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. This pluridisciplinary research team is led by Claudine Backes, PhD, Scientific Director of the National Cancer Registry of Luxembourg (Registre National du Cancer (RNC)) and head of the Cancer and Prevention Epidemiology
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Context and PhD objectives Conventional optical microscopy techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their
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. • Strong organizational skills, project management capabilities, and team spirit. • Flexibility and proactivity in a startup environment. Education • PhD (preferred) in physics, materials science
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service to epidemiological surveillance networks for pathogenic bacteria. The open data sharing policy of the platform for strain nomenclatures facilitates collaboration on monitoring emerging sublineages