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relevant experience(s) based on the job requirements. Responsibilities: · Manage, store, and analyze clinical research data · Conduct systematic literature reviews, develop hypotheses, critically think, and
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, preferably python, and will ideally have experience in working with a relevant land-system model such as the Community Land Model, an atmospheric composition model such as GEOS-Chem, and/or satellite
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of physical activity on energy expenditure, energy balance, and health outcomes. These two positions are: Non-Human Primate Activity & Physiology: This postdoc will work as part of a team investigating social
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central nervous system (CNS) pathology in GSDs as we are working towards developing novel therapeutic approaches. This postdoc will collaborate with different research team members on other research
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Responsibilities: - Be involved in managing and storing clinical research data (data management) and analyzing data - Conduct systematic literature reviews, develop hypotheses, critically think, and brainstorm new
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research data (data management) and analyzing data - Conduct systematic literature reviews, develop hypotheses, critically think, and brainstorm new ideas with the research team - Regularly collaborate with
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interested in applicants that have experience in one or more of the following areas: satellite remote sensing, energy balance modeling, and machine learning. In addition to scientific expertise, the successful
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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and equipment. · Design, execute and document experiments with sufficient detail to understand and repeat by other lab members. · Update lab members on new developments in commercial reagents and
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore