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this academic year. We’re looking for two types of predoctoral fellows: “Machine learning” track: you’re very skilled in machine learning, in particular large language models. Ideally, you would have a Masters in
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statement (describing teaching philosophy and practices) [Maximum three pages] 4. Two sample syllabuses: one for an intensive Greek or Latin language course; and one for a series of seven workshops
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) . The database will be an archive of extraordinary experiences, situated in their historical, linguistic, and geographical contexts paired with by wide-ranging encyclopedic entries that will cover relevant texts
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(approximately 5 hours a week) helping to develop the T&T Database (TTD) . The database will be an archive of extraordinary experiences, situated in their historical, linguistic, and geographical contexts , paired
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) . The database will be an archive of extraordinary experiences, situated in their historical, linguistic, and geographical contexts paired with by wide-ranging encyclopedic entries that will cover relevant texts
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of origin and publication date (based on taxonomy); Use the dataset to develop and train a large language model to recognize and classify health-related policies within documents using the index dataset
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(approximately 5 hours a week) helping to develop the T&T Database (TTD) . The database will be an archive of extraordinary experiences, situated in their historical, linguistic, and geographical contexts , paired
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Details Title Postdoctoral Fellowship in Buddhist Ministry 2024-25 School Harvard Divinity School Department/Area Office of Ministry Studies Position Description Full-time post-doctoral fellowship for the academic year 2024-25. Proposals, research projects and English-language publications...
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demonstrate a track record of consistent publication, have strong organizational, written, and oral communication skills, and should be able to work both independently and as part of a team. French language
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fresh frozen tissue Prior experience with fluorescence microscopy is strongly preferred Familiarity with python, R or similar programming language is advantageous, but not required Highly effective