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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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research resources of UAMS with Baptist Health’s community-based care model to train compassionate, skilled family physicians who are prepared to meet the evolving health needs of Arkansas and beyond. The PD
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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intelligent transportation systems (ITS), with an emphasis on developing and deploying state-of-the-art Large-Language Models (LLMs), Vision-Language Models (VLMs), and Vision-Language-Action (VLA) models
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detailed measurements and modelling of components and systems. You will be part of an international team of engineers and researchers, who collaborate with tPIs and doctoral students at the division
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Human Performance Alliance. https://humanperformancealliance.org/ Postdocs are limited duration, funding contingent appointments for one year with a possible annual renewal for up to two additional years
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REMANDO2030-UPV: Measurements and advanced modeling of the radio channel for the development of future mobile communication systems IMT-2020 https://www.upv.es/entidades/SRH/conypi/A1272752.pdf Where to apply
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with other, independent temperature reconstructions, high-resolution palaeobotanical records, and vegetation modelling scenarios developed by project partners. This research will be essential
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applications for two PhD positions in the field of organic geochemistry and paleolimnology (https://duw.unibas.ch/en/research-groups/organic-geochemistry/ ). The students will be part of the SNSF-project ECO