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Computational Chemistry and Physics Opportunities at D. E. Shaw Research

Computational Chemistry and Physics Opportunities at D. E. Shaw Research

Chemistry

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Abdullah Aziz

Abdullah Aziz

MSc. scholar at PMAS Arid Agriculture University, Rawalpindi

Overview

  1. E. Shaw Research is seeking computational and theoretical chemical physicists, as well as applied mathematicians and other computational scientists with a background in theory and a track record of achievement, to join our New York–based team. This is a unique opportunity to develop and work with transformative technology in a dynamic, interdisciplinary environment.
    Relevant areas of experience might include the development of methods for molecular dynamics simulations, such as integrators or efficient approximations of long-range forces, methods for enhanced sampling or free-energy calculations, or machine learning approaches for analyzing large data sets. Specific knowledge of any of these areas is less critical, however, than strong research skills in chemistry, and a history of innovation and accomplishment.
    We are committed to fostering a stimulating, rewarding, and flexible work environment, and we offer above-market compensation. In addition, we strive to support the personal and professional needs of our team members by offering generous benefits, opportunities for community engagement, and a variety of learning and development programs.
    Apply
    To submit an application, please use the link provided below:
    https://deshawresearch.avature.net/careers/Register?pipelineId=568&source=FindaPostDoc+-+Methods
    D. E. Shaw Research is an independent research group that is pursuing an ambitious, long-term strategy aimed at fundamentally transforming the process of drug discovery. We have developed a special-purpose supercomputer, ANTON®, capable of executing molecular dynamics (MD) simulations orders of magnitude faster than was previously possible. Our current projects include investigations of proteins and other biomedically relevant macromolecules as well as the development of computational chemistry methods to enable more accurate and effective MD simulations.
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