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community, including the Big Red 200 and Quartz high performance computing systems and on-premise cloud computing resources. The Research Applications and Deep Learning team is seeking a Part-Time Software
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. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Research Associate will serve as a scientific
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required and ABD candidates will be considered as long as a PhD in Criminal Justice or Criminology is in hand by the time of appointment. A JD and/or EdD degree alone is not sufficient. The full-time load
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communication skills. Preferred Basic Qualifications: PhD degree strongly preferred (ABD candidates may apply, but all PhD requirements must be completed by August 1, 2026). Strong background in a field of biology that
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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, monitoring and evaluation, and qualitative research methods, as well as contributing to the Social and Behavioral Sciences (SBS) concentration of the MPH program . The position includes collaboration
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who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana. Basic Qualifications Doctorate or terminal degree required (PhD in nursing, sociology
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review the application requirements and submit their application at https://indiana.peopleadmin.com/postings/30783 . Basic Qualifications PhD or equivalent terminal degree in exercise science, kinesiology
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University Bloomington. He earned his BS from Nanjing Agricultural University and his PhD from Miami University, Oxford, Ohio. Since 2020, he has conducted postdoctoral research at the University of Michigan