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such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs
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-performance computing, GPU acceleration, automated benchmarking or large-scale numerical workflows. Evidence of self-motivated contributing to collaborative research outputs, open-source software, preprints
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other field or laboratory instrumentation Apply appropriate behavioral, statistical, econometric, causal, spatial, machine learning, deep learning, computer vision, time-series, or mixed-methods
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global scales. Specific project ideas could
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its treatment options in patients with OSA. Newly NIH funded projects also include mathematical modeling and machine learning of models of tissue hypoxia using sleep studies and molecular markers
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are seeking a highly motivated Postdoctoral Research Fellow to lead innovative projects at the intersection of Modern AI, Computer Graphics, and VR/AR/XRd Human-Computer Interaction. This role focuses
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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and hundreds million) Skills in AI-enabled and GPU-based calculations are welcome Good communication skills and the ability to work in a team environment Ability to work independently to solve critical