325 computer-science-programming-languages-"Prof"-"Prof"-"Prof.-Dr" positions at Harvard University
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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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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
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organization skills Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Special
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Development Program Manager, the Learning and Development Specialist will assist with coordination, design, development, delivery, and measurement of training programs as well as coordinate resources and
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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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brief description of past research accomplishments and future research goals, a current CV, and contact information for three references. Basic Qualifications Ph.D. in biology, computational and data
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Details Title Fellow in Human-Machine Interface Clinical Research – Bionics Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position
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oceanography of the Southwest Greenland shelf as part of the Overturning in the Subpolar North Atlantic Program (OSNAP, www.o-snap.org ). The postdoc is expected to work with a variety of data (moored, vessel
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Code of Conduct Analyze electronic health records, administrative claims, and national survey data Basic Qualifications: Bachelor's degree in statistics, computer science, data science, or closely
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collaboration with the Principal Investigators. More specifically, the individual will: · Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; · Create data