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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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the ribosome. The lab studies this problem in the context of both fundamental molecular mechanisms and disease-related regulation. The position will be a chance to join a young, ambitious and curiosity-driven
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and other postdoctoral researchers as part of our Lundbeck Professorship grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a postdoctoral researcher your
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corporations to identify risks related to heat stress and/or lack of daylight availability Conducting a baseline study to assess current heat stress problems and thermal and visual comfort issues. Designing and
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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and
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thus that allowing to scale up to thousands of species per year; To build Genera , a multimodal AI system that integrates genomic and ecological data to assess extinction risk and generate actionable
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on the future as a temporal category in its comparative and political dimensions across the regional contexts under analysis. Further details are available at: https://www.anthrofuture.com . As part of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
-based study. Projects will focus on identifying genetic and environmental risk factors for breast cancer and benign breast disease, with opportunities to work at the intersection of population health and
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the brain and the molecular basis underlying this effect, with an eye towards using this information for patient risk assessment and to identify new targets for therapeutic intervention. We utilize animal
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collaboration with an NSF-funded team working explicitly to understand the impact of economic and behavioral decisions on outbreak risks within a wildlife trade network context. Again, a strong modeling