28 parallel-processing-bioinformatics-"IMB" Postdoctoral positions at Duke University
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in
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for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics. Your primary focus will be using
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will also have access to office space, computer equipment, and travel/research funds. Qualifications: ● Ph.D. in a social scientific field or related (e.g., sociology, public policy, political science
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-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering; Four (4) years training in wireless
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experience conducting survey research online, and have experience working with natural language processing and application programming interfaces, as well as prompt engineering, large language model training
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. Application Process Interested applicants should submit the following materials: · Cover letter that addresses your interest in the position, your research and teaching experience, and how this opportunity
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The Duke Quantum Center is seeking a Postdoctoral Researcher to work on ion trap quantum computer and quantum network projects, supporting/advancing research in quantum information science. The position
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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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, transport processes, numerical modeling, and network theory. Familiarity with plant hydraulics (xylem/phloem transport), osmotically driven flow, and biomechanical modeling. Demonstrated experience in