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contribute to open science practices. Responsibilities are: Planning and conducting large-scale cross-sectional data collections Independently performing appropriate statistical and computational data analyses
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. Selected innovators get the backing of MIT and our community of supporters to scale their impact and drive lasting change. The full job description is here: https://solve.mit.edu/careers
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in high performance scientific computing, multi-linear algebra and tensor contractions for heterogeneous exascale architectures. The successful candidate will join the NumPEx PEPR to reinforce
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-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) . As a postdoctoral researcher, you will take
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. Experience leading complex, multi‑facility or large‑scale engineering projects. Experience developing and delivering workforce development programs. Knowledge, Skills and Abilities Proficiency with Microsoft
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. As a result, we now have access to incredibly detailed multi-layered atlases across evolutionary and developmental scales and often down to single-cell resolution. This is complemented by ever more
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problems at all scales, and critical thinking and cross-disciplinary dialogue. Our 2024 strategic plan, titled Oregon Rising https://oregonrising.uoregon.edu , reinforces the importance of shared commitment
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, AI-enhanced forecasting, optimization, or simulation-based analysis • Building and scaling cloud-based activity-based mobility analytics systems (AWS/Azure/GCP) for large multi-city datasets
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to simulate glass-forming systems at near-quantum-mechanical accuracy and experimentally relevant time scales. You will develop AI-driven frameworks applied progressively to inorganic glasses, simpler molecular
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multimeric proteins, large-scale virtual screening (VS), and the integration of AI concepts into our drug discovery pipelines. Your main responsibilities will include: Conducting and analysing long-timescale