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Field
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, tool use, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI/ML
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, and copyrightable and potentially patentable discoveries derived from
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volumes in frozen cell sections, providing unprecedented maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial
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to study and model decision and judgment variability (i.e. noise). The scholar must be ready to conduct research including laboratory studies and simulations, assist in constructing computational cognitive
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computing), EMT simulations, and power electronics control. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models for transmission or distribution grids, synchronous generators, large
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-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, and copyrightable and potentially patentable discoveries derived from
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State University, in collaboration with engineering and political science faculty, to implement an existing research program defined in the DigiCARES strategic plan that advances justice-enhanced
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modelling of high-dimensional datasets. Experience in basic computational methods (e.g. R, Python, and/or other programming languages) Experience in developing computational analysis pipelines Experience with
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Details Title Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard University Position