Sort by
Refine Your Search
-
) to uncover patterns and mechanisms of animal influences on ecosystem properties and functioning. The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and
-
preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates
-
collaborators in economics, clinical medicine, health policy, and epidemiology across Harvard. Projects include both experimental (RCT) and quasi-experimental research and involve the use of large administrative
-
biomedical research practices from a feminist theoretical perspective. Facility with data analysis is desired, but not required. PhD must be completed before the start of the postdoctoral fellowship (ideally
-
machine learning methods for computational materials physics and chemistry. Projects include: 1. Scientific software engineering of machine learning potentials for large scale molecular dynamics. We
-
academic writing skills. Special Instructions Please upload the following application materials; curriculum vitae, statement of research experience and interests, and name of/contact information for your PhD
-
analysis of biological data are required. Additional Qualifications The ability to work as part of a large, integrated research team and strong verbal and written communication skills are essential. Previous
-
phylogenomics, physical chemistry and invertebrate paleobiology. More information about the Laboratory for Invertebrate Paleobiology and Evolution at Harvard University – https://ortega