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for the development of other teaching activities in Midwifery Sciences and future health programs Contact: Prof. Dr. Ali Ghanchi / Email: Your profile A Midwifery degree with a minimum of 10 years clinical experience
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request, provide an assessment on the application. Please indicate their relationship to you Applications should be addressed to Prof. Pascal Stammet, Programme Director of the Bachelor in Medicine. We
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Provide support in grant writing Perform other tasks within the framework of this position For further information, please contact Prof. Paul Wilmes: E-mail: Telephone: (+352) 46 66 44 6188 Your profile PhD
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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algorithms for dynamic structured data, with a particular focus on time sequences of graphs, graph signals, and time sequences on groups and manifolds. Special emphasis will be placed on non-parametric
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ICR groups. There will be a possibility to collaborate with local spin-offs. For further information, you can contact Dr. Réka Markovich () and Prof. Leon van der Torre (). Your profile A PhD in
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) developing models forecasting influenza epidemics accounting for epidemic dynamics by age groups. Successful applicants will be supervised by Prof Simon Cauchemez . They will collaborate with other members
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of the Bachelors of specialisation by contributing to establish the teaching staff, the course schedules, the teaching programme in close contact with the Director of the study , the study program administrators and
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for Research on Socio-Economic Inequality within the Department of Social Sciences in the team of Prof. Dr. Anja Leist, with frequent exchange and collaboration with the Luxembourg Centre for Systems Biomedicine
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) under the supervision of Prof. Dr. Robin Samuel. The YSL covers a range of topics such as attitudes, digitality, health, political participation, and values of young people. Luxembourg is a highly diverse