School: Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area: Applied Mathematics
Post-doctoral position in Applied Math. Fellow will conduct research applying machine learning technology to diverse problems in the sciences, aiming in particular at using traditional scientific computing code but in an autodiff framework. Applications could include models of developmental pathways, computational material science and particle dynamics and computational fluid dynamics. Postdoctoral fellow will be expected to publish results in top tier journals and work with graduate students and undergraduates to advance research goals.
PhD in Physics, Applied Math or a related field.
Expertise in scientific programming in python, and experience mathematical modeling of complex systems.
Expertise in modeling tissue development, molecular dynamics, or computational fluid dynamics.
Programming experience in JAX
Contact Email: firstname.lastname@example.org
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Equal Opportunity Employer:
Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.
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