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a unique opportunity to shape an emerging field at the intersection of AI and religion. Basic Qualifications Applicants should demonstrate the following qualifications: PhD in Religious Studies
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Karen Toffler Charitable Trust (KTCT) Scholar Grant program Eligibility: Early-career investigators (PhD candidates, Postdocs, Assistant Professors). Non-US citizens with a valid US visa are
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strategies. Duties and Responsibilities Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models. Leverage model embeddings in causal
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, and accomplishments in the field for candidates with recent PhD (within 1 year of application). Applications and supporting materials should arrive by 23 January 2026, for full consideration. However
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a
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by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW
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have received (or be in the final stage of obtaining) a PhD in sociology, social psychology, economics, demography, political science, public health, gender studies, ethnic studies, or a related area in
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communication, an ability to work both independently and in teams, and a track record of publications Special Instructions Contact Information Michael McWilliams, MD, PhD Contact Email mcwilliams
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Description Join our dynamic research team at Harvard University and spearhead groundbreaking research at the intersection of generative AI, multimodal learning, and Earth sciences. We are seeking a highly
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Description Join our dynamic research team at Harvard University and spearhead groundbreaking research at the intersection of generative AI, multimodal learning, and Earth sciences. We are seeking a highly