14 non-coding-"Data-driven-Materials-Modeling" Fellowship positions at Yale University
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demonstrated an interdisciplinary training plan through various approaches, including (but not limited to): Co-mentoring across disciplines: Develop a co-mentoring team of two or more Wu Tsai Faculty Mentors
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, supported by mentorship tailored to their interdisciplinary goals. Successful applicants have demonstrated an interdisciplinary training plan through various approaches, including (but not limited to): Co
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demonstrated an interdisciplinary training plan through various approaches, including (but not limited to): Co-mentoring across disciplines: Develop a co-mentoring team of two or more Wu Tsai Faculty Mentors
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practices. · Qualitative methods expertise (coding, thematic analysis, framework analysis) and comfort integrating qualitative + quantitative findings (i.e., mixed methods). · Familiarity with
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or administrative datasets, including data governance and privacy/security practices. • Qualitative methods expertise (coding, thematic analysis, framework analysis) and comfort integrating qualitative
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independent archival and/or ethnographic research and social analysi,s is strongly preferred. The fellow’s responsibilities will include, but not be limited to, working collaboratively on archival research and
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. (at the time of the application), external to Yale. The research interest of the fellows should match those of the faculty mentors and fall into areas matching the mission of the YQI. Non-US citizens must be
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rates (M & IE portion) for the Hartford, CT area. The Fellowship Year runs between June 1, 2027 through May 31, 2028. *Please note that payments to non-U.S. citizens (nonresident alien for U.S. tax
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scholars at other institutions cannot be considered. Application Instructions Applicants should submit a brief cover letter, a CV, a research plan (not to exceed 1,000 words), and the names of two references
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applicants for employment without regard to and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does