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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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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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in developing new tools to understand the nervous system and to explore theories behind neural phenomena. As for developing new tools, we have been working on network alignment algorithms [FCC+21] and
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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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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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at the Bachelor's and Master's level, contributing to the delivery of interdisciplinary courses on human rights For further information, please contact Prof. Dr. Robert Harmsen: Your profile Ph.D
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motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global
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training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus. This will serve three main purposes: 1) Enable
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. Key examples include PubChemLite , MassBank , and Shinyscreen . Further examples are on GitLab , our website and publications . For further information, please contact Prof. Emma Schymanski (email