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are making a difference. Summary: As part of the Procurement team, you will contribute to the purchasing process in a variety of ways. To be successful, you will need to be a good communicator, adaptable, and
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systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus. Janelia has been at the forefront of AI-driven research in
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intelligence throughout the research process—by supporting AI-driven projects through the creation of advanced chemical reagents. About the role: As a member of the team, you will focus on chemical synthesis
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responsible use of, laboratory animals. Our approach involves Vivarium staff working very closely with our scientists by taking responsibility and ownership of processes that involve animals, but are not data
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willingness to learn to perform new techniques. Preferred Experience with mammalian tissue processing (dissections, cryopreservation, sectioning, imaging, etc.). Experience with 2D mammalian cell culture and/or
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on all lab employment processes including recruitment, processing academic appointments, access forms, payroll actions, facilitating lab staff annual performance reviews, and terminations. Handle
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intelligence throughout the scientific process. During the initial phase of the project, the researcher will spend significant time on-site at Stanford University working with the Schnitzer Lab to learn and
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organization and other support duties relating to lab operations as required, while looking for ways to improve lab processes. Participate in laboratory meetings and read literature applicable to the research
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cellular processes and decisions are coordinated with metabolic state, and how the dysregulation of these mechanisms may be linked to disease and aging. The lab studies fundamental questions in metabolism
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possible as well as in the circuit changes that are triggered by the process of learning. We examine how perturbations of these processes contribute to neuropsychiatric disorders with disordered learning