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the DFG-funded TransforM Excellence Cluster. About the TransforM Excellence Cluster: TransforM is one of TUM’s interdisciplinary Clusters of Excellence, funded under Germany’s Excellence Strategy
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unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple
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projects within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or
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on the development of the SPHEREx Legacy Galaxy Clusters Catalog. The successful candidate will lead analyses to characterize galaxy populations in clusters using SPHEREx data in combination with complementary wide
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the highly collaborative and stimulating environment of the PaquetLab, ISD, SyNergy Cluster of Excellence, and our international collaboration network. See our recent publications in Nature Neuroscience
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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Hamelryck . Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in biomedical or natural
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will have the opportunity to work on topics such as cluster algebras, amplituhedra, Landau analysis, Feynman integrals, and related aspects of algebraic combinatorics and geometry in fundamental physics
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collaboration with imaging specialists) Perform unsupervised clustering and pattern discovery without predefined diagnostic labels Interpret molecular and microenvironmental states of benign, premalignant, and
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disease insights. The lab has state-of-the-art computing capabilities with an in-house cluster serving 80 CPU cores and 1.5TB of RAM, as well as a newly acquired NVIDIA DGX box with eight H100 GPUs and 224