386 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Harvard University in United States
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological studies. Leading
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to support the position. Basic Qualifications Bachelor’s degree in statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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offices. Meets regularly with the Department Head to discuss personnel and participates in the oversite of program and research goals. Maintain frequent communication with various Harvard department
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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’ post-secondary education or relevant work experience Advanced degree in computer science, data science, engineering, or a related field within AI/ML Additional/Desired Qualifications: 3+ years
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needs of the School. Uphold Harvard’s standards for confidentiality, data security, donor privacy, and ethical stewardship Physical Requirements: Primary work takes place in an office environment. Some
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candidates pursuing experimental research in materials science and engineering, but will also consider strong candidates using theoretical and computational approaches. Relevant backgrounds include materials