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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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Posting Title Researcher II/III: EMT Modeling, Simulation and Analysis for Large-Scale Power Systems . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
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at Birmingham (UAB) for a Researcher V focused on stem cell and gene editing research. The Zhao Lab investigates the biology of stem cells and their applications in modeling and treating human diseases, with
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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
, statistical modeling, and single-cell and spatial multi-omics to understand how genetic variation and immune pathways converge to cause disease. We are a core component of the VIGOR study (vigor.umassmed.edu
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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners
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. Being independent and able to interface with multiple work groups is critical. We use biochemical, proteomic, cell biology, molecular biology, genomic, epigenomic, and mouse model approaches and
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external partners. Topics of particular interest include the novel development and application of machine learning models--such as large language models, multi-modal foundation models, agentic AI, embodied
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods