70 high-performance-quantum-computing-"https:" "Simons Foundation" Postdoctoral positions at Duke University
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu
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this position; no new applications will be accepted after 2025/12/18 11:59PM US Eastern Time. Position Description Postdoctoral Associate in Synthetic/Medicinal Chemistry Location: The Hong Group (https
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, United States of America [map ] Subject Area: Chemistry / Polymer Appl Deadline: 2026/02/13 11:59PM ** Position Description: Apply Position Description Postdoc position in polymer informatics. A postdoctoral position is
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, grant funded position, eligible for all Duke benefits (https://hr.duke.edu/benefits ) with an initial appointment of one year with the possibility of renewal, dependent on funding and performance
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skills are particularly welcome. For information about the lab and the PI, please visit: https://www.cellbio.duke.edu/purushothama-rao-tata/ . This will be a minimum one-year appointment, contingent upon
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cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing experimental procedures. • Data preparation for oral presentations
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well as a passion for quantitative-biology and synthetic-biology research. The ideal candidate should have a recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics
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. 33:169). Our lab applies high resolution live imaging techniques combined with biophysical approaches, genetics, gene discovery and computational tools. The successful applicant will lead a research