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, prototyping and data analysis to contribute to innovative translational near-infrared spectroscopic and tomographic imaging systems and clinical applications. The candidate will lead the design, testing and
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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work closely with Dr. Gothe and her collaborators on analysis of an ongoing randomized controlled trial examining yoga, aerobic and stretching-toning exercise effects on neurocognition among older adults
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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supporting research staff. Primary responsibility is ensuring that the research is complete. The appointment generally does not extend beyond two years. MINIMUM QUALIFICATIONS PhD in Biochemistry, Molecular
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QUALIFICATIONS PhD in Biochemistry, Molecular Biology, Plant Biology, or a related field; Proven experience in the field of plant medicinal natural product biochemistry; Proficiency in molecular cloning, protein
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should have research experience in mathematical biology, preferably using theoretical and numerical approaches to understand mechanisms in biological systems. The successful candidate will work under the
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team. The candidate will work closely with Dr. Gothe and her collaborators on analysis of an ongoing randomized controlled trial examining yoga, aerobic and stretching-toning exercise effects
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experiments, training graduate students, data analysis, scheduled reporting to funding agency and/or collaborators, as well as participating in the laboratory duties. In this role it is critical