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of this role is to ensure alignment with HHMI’s mission, vision, and culture among office and lab staff. It will be critical to model strategic leadership behaviors, be self-directed, and be able to balance
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computational infrastructure. This role will require deep knowledge of the underlying models as well as practical implementation skills to have the maximum biological impact. You will lead comparative studies
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, procurement, and host/lab services while acting as a change champion for ongoing process improvement efforts. One of the key responsibilities of this role is to ensure alignment with HHMI’s mission, vision, and
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pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in the life sciences. Our integrated teams of biologists, computational scientists, and tool-builders innovate
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, anticipate trends, measure program effectiveness, and continuously refine HHMI’s people practices. Build Strategic Partnerships: Foster strong collaborative relationships across People & Culture, the Office of
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, Computer Science, or a related field. Strong coding skills in MATLAB and/or Python (required). Prior laboratory experience, ideally involving mouse models or wet-bench techniques. Excellent organizational
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at Columbia University, is seeking a Software Engineer. The Gadagkar lab’s goal is to combine the advantages of the songbird courtship system with state-of-the-art computational, theoretical, and experimental
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to several pounds (such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation, contamination by toxic chemicals and acids and presence of carcinogenic
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of the songbird courtship system with state-of-the-art computational, theoretical, and experimental approaches to discover how brains evaluate behaviors, both self-generated and the behaviors of others. By
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state-of-the-art computational, theoretical, and experimental approaches to discover how brains evaluate behaviors, both self-generated and the behaviors of others. By discovering fundamental principles