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long-term health outcomes among survivors of European and African ancestries; 2) analyses of multi-omics (genomics, transcriptomics, proteomics, and metabolomics) and system genetics (e.g., eQTLs
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research focuses on multi-environment cultivar evaluation, dissection of the genetic basis of important traits, and high-throughput phenotyping in blueberries and potentially other small fruit crops
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UHealth campus in Miami, Fl. CORE JOB SUMMARY The Postdoctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Postdoctoral Associate promotes
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workflows. Research Environment and Collaborative Structure The position is embedded within the Protein Research Group (PRG) at the University of Southern Denmark – an internationally recognized center
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(internationally-comparative) surveys, qualitative interviews, and experimental studies. The core tasks will include: Carrying out research within the scope of the research programme; Translating and communicating
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to improve both individual and population health outcomes in conjunction with faculty from the School of Medicine (Department of Public Health and Center for Public Health Genomics) and the School of Nursing
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Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778. Job Description The Nevada Center for Applied Research (NCAR) at the University of Nevada, Reno
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supporting multi-disciplinary research on community resilience. ARISE enables research collaborations among a team of more than 70 faculty, students and staff across 18 partner universities and colleges in
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical