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, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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the final year of their thesis work) in Psychology, Biostatistics, Exercise Science or a related field (e.g., Public Health). Strong candidates will have a track record of research involving young, middle
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, Chemical Engineering, or related field. Strong interpersonal and communication skills. Excellent publication track-record and basic experience with grant writing. Position Type Research Additional
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expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
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, Chemical Engineering, or related field. Strong interpersonal and communication skills. Excellent publication track-record and basic experience with grant writing. Position Type Research Additional
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knowledge of the others): cognitive aging, brain aging, psychophysics, perception or memory processes, eye-tracking, metacognition, and the role of the locus coeruleus in cognition. Researchers must possess a
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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, social/digital media and health outcomes are a plus. Preferred Qualifications Candidates with a track record in conducting mixed methods research, including population-based surveys, qualitative methods