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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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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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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
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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(morphological patterns), based on the experts’ knowledge. Then, tools like Procrustes analysis, linear dimensionality reduction (PCA) and standard clustering algorithms are employed. A first objective of our