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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include: Efficiently handling and managing large data volumes Performing numerical reconstruction of holograms
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towards generalizable principles across content areas and issues of societal relevance. The group is looking for a postdoctoral researcher to contribute to ongoing research on Large Language Models as
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and
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for reaction-diffusion systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC
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We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on the in-hospital deployment of Large Language Models (LLMs). The focus of this position is the
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Containerized and Kubernetes-based service deployment and operations Large-scale machine learning and LLM workflows (e.g., PyTorch, Megatron, pre-training, fine-tuning, inference) Storage and data systems (e.g
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explore possibilities to enhance the sensitivity of Magnetic Resonance (ESR and NMR) by harnessing the large spin polarization of photo-excited triplet states in a broadly applicable manner. Curious? So are