86 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
of democracy. While teaching a course will not be a part of the fellowship, developing curriculum and teaching materials will be an opportunity to frame how environmental history might be taught. The Fellowship
-
psychological assessments. Training in professional skills development will also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees
-
improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
-
fellow to join our studies on the genetic basis of human evolution, with a focus on the evolution of the human brain. Candidates with a strong track record in any biological field are welcome to apply
-
habitats to develop “beaver-bots,” robotic tools inspired by beavers that work within and alongside natural systems; and (5) Planetary Design Computation—testing the potential of using targeted local
-
evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials
-
Qualifications Experience with teaching, pedagogy, and/or educational technology. Basic coding experience (Python or JavaScript) is advantageous but not required; candidates must demonstrate interest in developing
-
machines. We seek outstanding postdoctoral applicants with expertise in immunology and/or biomolecular engineering to work with Institute faculty, postdoctoral fellows, and research staff to develop
-
the Fellow’s area of academic expertise to develop pedagogical tools that can be tested in those instructors’ courses. Partnering with staff at the Edmond & Lily Safra Center for Ethics on designing new
-
and to develop approaches to predict and monitor effects of interventions. The position will be in-person and utilize the local scanning facilities adjacent to the Buckner Laboratory within the Center