68 lecturer-computer-science Postdoctoral positions at Duke University in United States
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responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program unless research training under the supervision of a
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biology, computational biology, and animal medicine. With these expertises, the DHVI is working collaboratively to develop vaccines and countermeasures against pathogens like HIV, SARS-CoV-2, and influenza
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Carolina 27708, United States of America Subject Area: Biomedical Engineering / genome engineering technologies Appl Deadline: (posted 2025/04/22, listed until 2025/06/30) Position Description: Apply
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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independent research activities under the guidance of a faculty mentor in preparation for a full time academic or research career. Conduct research on computational modeling of cortical neuron activation by
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clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under the supervision of a mentor
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The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment The Postdoctoral Appointee functions under
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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Duke University, Civil and Environmental Engineering Position ID: Duke -Civil and Environmental Engineering -GILBERTSON_POSTDOC [#30163] Position Title: Position Location: Durham, North Carolina
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis