138 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs at Harvard University in United States
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interatomic potential to incorporate materials response . Resulting models are implemented in LAMMPS and are used to perform ML-accelerated large-scale dynamics simulations to investigate the evolution
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) or indirect (i.e., from an awardee institution) funding for trainees at the postdoctoral level or identify programs that focus on educational developments such as curricula development, training or retention.
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facilities of the Harvard College Observatory and the Smithsonian Astrophysical Observatory under a single director to pursue studies of those basic physical processes that determine the nature and evolution
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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
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Qualifications Interest in the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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person per laboratory may apply for funding, per funding round, per journal. Deadline Month: March, May, August, & October Description: The Company of Biologists' journals – Development, Journal of Cell
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Description With support from the Japan Foundation, the Program on U.S.-Japan Relations invites applications for the postdoctoral fellowship which includes a teaching component. One fellow will be appointed
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beam. The advertised position involves further development of these and related methods as well as applications of these new technologies to address questions in the fundamental cell biology of
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and Asia. This position offers an excellent opportunity to strengthen skills in primary data collection, advanced statistical analysis, evidence synthesis, proposal development, and scientific writing