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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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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
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algorithms will be developed to extract discriminative and predictive features from a multimodal dataset consisting of digital histopathological images, lung CT images, clinical, genomics, and multiproteomics
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interdisciplinary, and together we contribute to science and society. Your role Successful candidate will join the Bioinformatics Core, led by Prof. Reinhard Schneider, which focuses on managing and analysing complex
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Medicine (TTM) department headed by Prof. Dr. med. Rejko Krüger, is looking for a dynamic and motivated Communication Officer. Key Accountabilities Media Write articles and conduct interviews with local and
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, transport, or defense. On the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their
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the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their performances and their limitations
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Support in further expanding the activities surrounding organ-on-chip models For further information, please contact: Prof. Paul Wilmes / E-mail: Telephone: (+352) 46 66 44 6188 Your profile A Bachelor or