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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
. Position Summary The Department of Genetics at the University of North Carolina at Chapel Hill is seeking a new research-track faculty member with a strong record in computational biology, genomics
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sciences. Duties focus on overseeing laboratory activities, tracking received samples from various experiments, supervising student lab activities, managing laboratory and field data in spreadsheets
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FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications -Ph.D. in the field of chemistry, materials science, biomedical engineering or related disciplines -Experience in the development of targeted therapies
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. The Center for Applied Therapeutics encompasses a broad array of research activities involved in the development, preclinical testing, and clinical testing of novel therapies targeting cancer or precancerous
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Control Number 0041 Suffix 01 Contingency Code 15 FTE 1.0 Contract Basis Fiscal Year Anticipated Contract Start Date 01/05/2026 FLSA Status Exempt Tenure Tracking Non-Tenure Track Rank Assistant Professor
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years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by
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in manipulating materials for improving the performance of electrochemistry. Evidence of experience in manipulating materials for flexible or wearable energy application. Emerging track record and
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tracking system. Letters of reference submitted via the PeopleAdmin applicant tracking system will be verified and considered towards meeting this requirement. Additional Instructions to Applicant In order
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of Tennessee-Oak Ridge Innovation Institute (UT-ORII) is inviting applications for a non-tenure track research faculty position in biodegradation of bio-derived materials. We are looking for an innovative and
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PhD in Computer Science, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM