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treatments for mental illness. To this end, we bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural
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Science, Immunology, Chemistry or related field with demonstrated productivity. Experimental skills in in vivo animal models, flow cytometry, molecular signaling pathways, genetic modification, CAR T functional assays
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. Preferred Qualifications Ph.D. degree in a biomedical science-related field Previous experience working with rodent models and rodent behavioral tests/analyses. A minimum of 3 years of laboratory experience
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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
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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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Description Job Summary: The Albertin Lab at Harvard University studies the evolution of developmental patterning mechanisms using cephalopods and other molluscs as model systems. We employ diverse approaches
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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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-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Bidding eligibility ends January 6, 2026 at 11:55 P.M. Create a Job Match for Similar Jobs About
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summative evaluation plans and construct comprehensive logic models that capture program activities and outcomes. · Design evaluation procedures/protocols and develop data collection/survey
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physics and cosmology. The research areas of interest include (but not limited to) the following fields(*1,*2): 1) Physics beyond the Standard Model and Cosmology axion physics, dark matter, flavor and CP