83 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"TCAT-Dickson" positions at HHMI in United States
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, hands-on work. We share our methods, results, and tools with the scientific community. About the Role: HHMI’s Janelia Research Campus Information Services serves the needs of researchers at Janelia in
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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build the data backbone for the next era of AI-powered spatial
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data
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implementing novel and innovative tools, technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: https
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is to discover governing equations from experimental data to generate mathematical models of cellular signaling dynamics. You will help design algorithms for data-driven model discovery, test proposed
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mechanisms underlying the unique neurovascular interactions including the blood-brain barrier and neurovascular coupling, and to harness their discoveries for therapeutics. More information on the lab can be
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ensures these systems drive operational excellence, enable data-informed decision-making, and deliver a seamless user experience. Reporting to the Chief Technology Officer, this role also plays a critical
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of coordination for supplier onboarding and maintenance across APEX and Workday. You will manage high-volume requests, resolve issues across teams, and ensure supplier data is accurate, complete, and compliant
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of metabolism to neurodegeneration to cancer and aging. More information about the lab can be found on their website . We are targeting someone who has a strong proven track record in computational biology, is
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, hands-on work. We share our methods, results, and tools with the scientific community. About the Role: Advanced imaging techniques at HHMI Janelia Research Campus produce large amounts of image data