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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
and organoid systems that capture key aspects of tissue architecture, cellular heterogeneity, epithelial-stromal interactions and disease-associated states (Dowbaj et al., Nature 2025; Yuan et al
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How to best incorporate New Genomic Techniques to solve challenging issues
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to work well with minimal supervision and with PhD students and external collaborators. Experience related to performance analysis and optimization, GPU architecture, and code generation are highly
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models. As AI capabilities advance, the computational, infrastructure, and governance challenges associated with computational data analysis will grow rapidly. The positions will be located at The Roux
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) at the University of Southern Denmark invites applications for a postdoctoral research fellowship position within the field of neuro-morphic reinforcement learning to be filled earliest by 1 October 2026 for a period
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to an existing fleet-control system, while providing certified bounds on changes to closed-loop behaviour. The post holder will be a member of the Oxford Control Group and will develop new control architectures
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characterization, and community-level activity and function analyses. This position is funded by the Swiss National Science Foundation (SNSF) and EPFL. The postdoctoral researcher will collaborate closely with PhD
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scattering. But the average is not the whole story, and whether the electrons are itinerant or localized depends on composition and the spacing between rings. Both are set by chemistry: by the counterion
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precipitated withdrawal distinction has clinical significance, and this project aims to detect this separation through model architecture in probabilistic temporal event dynamics. Required Qualifications: - PhD
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long