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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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processing • High-speed memory, interconnects, and data center architecture • Efficient software stacks for training and deploying large-scale models (e.g., Llama, DeepSeek) in a data center or on
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breakthroughs in Large Language Models and diffusion-based generative models have propelled AI into new frontiers. At Polymathic AI, we are harnessing these advances to develop powerful, interpretable AI models
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision
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in resulting companies, etc. The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 10 hours ago
data of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab, including tissue processing, molecular probe staining, and volumetric data acquisition
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 10 hours ago
data of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab, including tissue processing, molecular probe staining, and volumetric data acquisition
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practice. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293131/20-position-as-researcher-at-european-palliative-care-research-centre-prc Where to apply Website https
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-scale experiments will offer high-resolution measurements ideally suited for comparison with detailed numerical simulations, while large-scale experiments will provide data relevant to coarse-grained
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO