144 computer-algorithm-"Prof"-"Prof"-"Prof" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
-
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
-
circuit-driven neuroscience, and computational ethology. The opening is for a postdoctoral fellow with expertise in systems neuroscience, including some of the following: chronic neural recordings in freely
-
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
-
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
-
at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology, or related areas Hands-on experience with or a strong interest in bioinformatics programming, including
-
, 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
-
(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
-
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
-
our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present