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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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, and/or population health. The fellow will engage in ongoing research projects while receiving individualized mentorship in research design, data analysis, scientific writing, grantsmanship, community
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electrolysers (PEMWEs) across three key areas: Developing standardised sampling and analysis methods to measure PFAS emissions in liquid, gas, and aerosol streams and validate PFAS release during system operation
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, clinical trial interventions, participant recruitment and consenting, data management and analysis, systematic reviews and preparation of research outputs. Working within established research objectives
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SUPERVISOR, CODING & DATA MANAGEMENT Job ID 60217 Location Columbia Department Professional Coding & Revenue Job Family Office & Admin Support Business Unit University of MO-Columbia Posted Date 07/09/2026
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
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Applicants should possess: • A PhD (completed or close to completion) in Communication, Public Health, Information Systems, or a closely related discipline. • Strong quantitative research
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, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been received within the last
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simulations and develop control and data pipelines for acquisition, reconstruction, and visualization; provide measurement-driven feedback to the detector team; contribute to advanced processing strategies
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within visual media, for example using biometric and privacy-preserving representations, and connecting these signals to provenance and licensing information using standards such as C2PA (Content