34 machine-learning-"https:"-"https:"-"https:"-"https:" Fellowship positions at Harvard University
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research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling initiatives; Working with partner organizations or companies. Basic
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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native peoples, or peoples of African, Asian, or Hispanic descent. The fellowship includes the requirement to teach one course per year (ideally in the fall term), to participate in a fellowship program
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to prioritize work and coordinate research protocols with lab members Excellent attention to detail and organization skills Interest in learning and strengthening existing skillsets Special Instructions We highly
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-of- origin–specific manner—and its critical roles in brain development, growth, behavior, and learning. The significance of imprinted genes is underscored by the diverse neural and behavioral
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promote in our workplace culture. We work hard to ensure a healthy, inclusive, and positive environment where everyone does their best work in support of Harvard’s mission. Learn more about our commitment