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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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computational biology, or related fields. Additional Qualifications Special Instructions Do not contact PI. Any questions can be directed to David Lucas at the email address below. Contact Information David Lucas
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bargaining and matters affecting your compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in computer science and/or mathematics Working knowledge in category theory Additional
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that converts your CGPA to a 4.0 scale. This can be done using a GPA conversion tool, such as Scholaro’s GPA Calculator , or by submitting a credential evaluation report from a service such as WES or ECE , which
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(yes, 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
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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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, computer science, engineering, or related fields. Experience in relevant research topics is a plus but not required. Contact Information: Andrea Henderson Contact Email: amhenderson@seas.harvard.edu Special
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or computational research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as
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(yes, 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