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Field
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the area of precision network neurology, with a focus on understanding how risk factors contribute to brain aging. This research is situated within the framework of predictive, preventive, personalized, and
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University (ASU) invites applications for a postdoctoral scholar position associated with the US NSF Center for Analysis and Prediction of Pandemic Expansion (APPEX) in areas associated with mathematical and
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environmental science is of supreme importance. Students entering the science classroom bring well-developed intuitive frameworks that help them understand, explain, and predict the world around them. These
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intelligence as applied to trauma systems and acute care surgery. Fellows will engage in cutting-edge research spanning multiple domains, including risk prediction models for surgical complications, clinical
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community visit: https://greateriowacity.com/build/area-advantages/ The position will begin in Fall 2026, with flexibility in start date based on candidate availability. The initial appointment is for 1 year
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or willingness to develop skills in analytical techniques such as GC–MS or related methods for quantifying seed-applied compounds Experience with statistical modeling, experimental design, and multivariate
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-applied compounds • Experience with statistical modeling, experimental design, and multivariate analysis of biological datasets using R, Python, SAS, or related platforms • Ability to integrate laboratory
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perturb sequencing to establish foundational models to predict the effects of potential drug candidates on cardiovascular diseases. By combining genome engineering, functional genomics, and tissue models
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Appointment Term: 1-2 years, renewable based on satisfactory performance. Appointment Start Date: Flexible Group or Departmental Website: https://www.huttenhainlab.com/(link is external) How to Submit
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images