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of scientific manuscripts and research grant applications. The candidate will work with large, complex datasets from recently completed randomized trials and prospective cohort studies. Responsibilities include
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on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious
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health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
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skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred
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health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four more years, depending on performance, continuation
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an understanding of the world's complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future
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utilize computational techniques, including modeling, simulations, and machine learning, to analyze the collected data. They will also be expected to synthesize findings into high-impact publications in top
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, but not limited to: Energy systems decarbonization Smart energy systems Climate mitigation strategies Life cycle analysis/optimization of energy systems Integrated assessment models of energy systems