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at Duke University. The position is ideally suited to researchers with interests in applied coastal ecology. There is room for independence in addition to a large focus on seagrass restoration innovation
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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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, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image processing ● Proven experience in
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processes for the synthesis of lead compounds. • Perform detailed analysis and characterization of synthesized compounds using advanced techniques such as NMR, MS, and HPLC. • Collaborate closely with cross
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continue screening ALL applications until position is filled, regardless of where the search committee is at in the review process.) Duke is an Equal Opportunity Employer committed to providing employment
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is filled, regardless of where the search committee is at in the review process.) Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's
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discipline awarded before August 1st, 2026. Applicants with experience in mathematical modeling, dynamical systems, applied PDEs, analysis and simulation of stochastic processes, data calibration, and/or
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. (Note: Search committee will screen applications as they come in and must continue screening ALL applications until position is filled, regardless of where the search committee is at in the review process
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chromatin architecture regulates fundamental DNA-templated processes including DNA replication, transcription, and DNA repair. Our research uses the budding yeast Saccharomyces cerevisiae as a model system to
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in