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, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education PhD, MD/DO, MD/PhD or equivalent degree Required Related Experience Post-doctoral
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modeling, artificial intelligence (AI), machine learning, and neuroinformatics methods to address pressing questions in clinical neurology. This position offers opportunities to work on large biomedical
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reactions, as well as nuclear data. The position is part of the nuclear physics team that resides in the Advanced Computing for Nuclear, Particle, and Astrophysics group at the National Center
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies. The appointment
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54,000 - commensurate with experience Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field Required Related Experience Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Posting Information Posting Details Department SOP-DPMP - 452400 Posting Open Date 11/04/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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. Position Requirements PhD completed in the past 5 years or soon-to-be completed in physics or related field. Strong knowledge of coherent imaging, light modulation, Fourier-domain signal processing, X-ray
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, and neural circuit models for understanding local-field and neural ensemble data collected from rodent models of healthy aging and age-associated disorders. These analyses and models will contribute