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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Applicants must have a Ph.D. degree in computational biology, bioinformatics, biostatistics, or a related discipline and experience commensurate with the Assistant Professor rank. Preferred Qualifications
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Research Plastic Surgery Assistant Professor Bookmark this Posting Print Preview | Apply for this Job
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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in peer-reviewed journals and present findings at scientific conferences. Teach and develop curriculum in AI, bioinformatics, and biomedical data science. Mentor students, trainees, and junior
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large-scale power system simulation and model reduction techniques. • Hands-on experience with EMT/Phasor-domain-based power system transient simulator development. • Knowledge of parallel and
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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., proteomics, lipidomics, small-molecule quantification), genomics, tissue culture, high-throughput drug screening, confocal microscopy, bioinformatics, and biostatistics. Biological Sciences faculty maintain
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under Drs Ostrom and Patel’s mentorship. Be You. Requirements: The applicant should have a Ph.D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or a related
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having