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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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. Example references for previous work include: https://www.nature.com/articles/s41586-023-06786-y https://www.nature.com/articles/s41467-022-33497-1 https://doi.org/10.1016/j.actamat.2024.119667 https
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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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are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.cee.duke.edu/ 121 Hudson Hall Box 90287 Durham, NC 27708
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of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http
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% to supervising and assisting PhD students. Qualifications • Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are
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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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motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing computational models of the immune response for multi-scale epidemic models. This position offers
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. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in medical physics, biomedical engineering, electrical engineering, or computer science. Candidates with non-US degrees may be required to provide proof
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments