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, and use of novel architectural features. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne
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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable high-fidelity
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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architectures, primarily Intel FPGAs. The successful candidate will collaborate closely with researchers at McGill and partners worldwide, leveraging industry-standard tools and technologies to ensure
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of pioneering the next generation of human-induced pluripotent stem cell (iPSC)-derived organoid models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror
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, and academic and agency researchers, to help identify a data-sharing architecture (“database ecosystem”) suitable for use in the Great Lakes Basin. A potential need to conduct structured or semi
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genes of the gut microbiota. Foundational studies for the lab include: Novel insights into the genetic architecture and mechanisms of host/microbiome interactions from a multi-cohort analysis of outbred
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growers and also include monitoring Drosophila, categorizing grape cluster architecture and damage, monitoring weather variation between sites, and estimating economic costs and benefits. Research
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in building science, architecture, mechanical engineering, construction, or closely related