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Field
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. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine Intelligence
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spans multiple interconnected areas: Development and operation of next-generation analysis systems for the High-Luminosity LHC era, including columnar analysis frameworks, scalable distributed computing
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→ cell → patient Integrate multi-modal data (genomics, transcriptomics, biosensors, EHR) Perform single-cell and spatial multi-omics analyses at scale Lead high-impact publications and contribute
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of cognition using Neuropixel and other high-contact number probes in the cortex and hippocampus in human neurosurgical patients. High-density electrodes for the study of intracranial neural recordings provides
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Position Details Position Information Internal Posting? Posting Number SP005231P Position Title Postdoctoral Researcher Division/College College of Engineering Department Computer Science Location
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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of Computer Science invites applications for a Postdoctoral Researcher position in cybersecurity and artificial intelligence. The postdoctoral researcher will conduct cutting-edge research in areas such as cyber
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Programming Systems R&D: Contribute to DOE goals of enabling performance‑portable high‑productivity languages (Python/Julia/Rust) and evaluate the emerging role these languages and frameworks within scientific
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to computational materials, mechanics, or related fields Proven ability to work collaboratively in an interdisciplinary research environment and mentor graduate students. Experience with high-performance computing