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Field
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex
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established faculty compensation guidelines. All faculty, particularly on the professional tracks such as this position, are expected to engage in substantial and substantive externally-funded scholarly work
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to advance policy and practice in Indigenous education. Key Responsibilities Coordinate research activities, track progress, and support project delivery. Prepare and maintain research documentation
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and undergraduate students. PhD or terminal degree in Computer Engineering, Computer Science, or a related field. A track record of publishing and seeking funding. Collaborative research experience in
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supports data entry and quality control, participant screening and communications, document preparation, and research equipment tracking. The incumbent works under general supervision from the Research
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according to the study protocol (e.g. post-immunization reaction data). Study Tracking - Alter variables on a computer tracking program. Other - Develop standardized procedures for activities that research
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image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement
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by Management in addition to tracking key performance Indicators. Other responsibilities include following up with researchers and administrators on annual compliance renewals, grant application
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Details Open Date 11/25/2025 Requisition Number PRN16566N Job Title Hourly Research Assistants Working Title Cardiology Genetics Intern Career Progression Track S00 Track Level S1 - Entry Level Support FLSA