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biostatistics and machine learning, with particular emphasis on robust and trustworthy methods for learning from complex biomedical data. The postdoctoral associate will join an active and collaborative research
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research appointment beginning July 1, 2026. Candidates are required to have received a PhD or equivalent in Mathematics or related field by the start of their appointment, and they may have up to three
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the emergence of data-driven methods in the sciences and beyond. The Fellow will be affiliated with STS and will interact with Brown’s world-renowned faculty and students both within and beyond the STS community
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. Qualifications for the position include a PhD at the time the position commences, an ability to work independently, an interest in contributing to a dialogue across disciplinary boundaries, and an interest in
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. There may be future opportunities to be trained in qualitative research methods. The future Research Assistant will have the opportunity to be part of a dynamic team, work with key state stakeholders (e.g
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subject research and qualitative methods is desired Familiarity with SPSS, REDCap, Qualtrics, NVivo, R is advantageous Fluency in Spanish is highly desired And/or equivalent combination of education and
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disadvantaged populations is a plus. Candidates with prior work experience in qualitative and quantitative research methods, project management, and administrative research tasks will be preferred. This position
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years' research experience Experience with human subject research and qualitative methods is desired Familiarity with SPSS, REDCap, Qualtrics, NVivo, R is advantageous Fluency in Spanish is highly desired
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interests in the health of marginalized and disadvantaged populations is a plus. Candidates with prior work experience in qualitative and quantitative research methods, project management, and administrative
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. The Amtrak/MBTA trains offer close access to metropolitan cities including Boston and New York. PhD, ScD, or DrPH in Psychology, Clinical/Counseling Psychology, Public Health, Epidemiology, or other related