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Job ID:
156387
Postdoctoral Fellowships in Computational Chemistry and Biology at D. E. Shaw Research
D. E. Shaw Research
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Date Posted
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Mar. 24, 2021
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Title
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Postdoctoral Fellowships in Computational Chemistry and Biology at D. E. Shaw Research |
University
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D. E. Shaw Research
New York, NY, United States
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Department
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Research |
Application Deadline
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Open until filled |
Position Start Date
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Available immediately |
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D. E. Shaw Research is seeking postdoctoral fellows to join our New York-based team. This is a unique opportunity to develop and work with transformative technology in a dynamic, interdisciplinary environment. Candidates should have expertise in computational biophysics or chemistry, structural biology, drug discovery, or in a relevant area of computer science.
Relevant areas of experience might include the study of allosteric interactions or other functionally important conformational changes in biological molecules, investigation of protein-protein or protein-nucleic acid interactions, and direct application of molecular dynamics or other computational methods to either fundamental biophysical problems or drug discovery. Specific knowledge of any of these areas is less critical, however, than strong research skills, 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.
To submit an application, please use the link provided below:
https://deshawresearch.avature.net/careers/Register?pipelineId=580&source=A…
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 multiple generations of 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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