14 high-performance-quantum-computing-"https:" "https:" "https:" Postdoctoral positions at University of Virginia
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on performance and funding. This position is part of the Provost’s Office Grand Challenges Precision Health Initiative , which supports transdisciplinary research and training to optimize health outcomes
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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. Please see our recent publications at: https://med.virginia.edu/le-lab/publications/ Minimum Requirements: Doctoral degree A Postdoctoral Research Associate position is training preparatory for a full-time
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The College of Arts & Sciences at the University of Virginia invites applications for several Postdoctoral Research Associate and Lecturer positions in the College's core Engagements program for a
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. This position will focus on developing and applying novel statistical methods, machine learning approaches, and AI-driven computational tools, with a strong focus on statistical genetics and genomics
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environments. The incumbent will perform research in either lipid signaling and RNA splicing as these processes relate to cancer, precision medicine, wound healing, diabetes, infectious diseases, and
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more, please visit: https://tinyurl.com/trinhlaboratory The successful candidate will join an interdisciplinary research group in which research questions and novel ideas are valued and examined from
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congenital human disorders, potentially leading to the development of novel therapeutics for related human diseases. For more information about the Tang Lab can be found through: https://med.virginia.edu/bmg
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research in generative AI systems. The successful candidate will work closely with Dr. Peter Beling and Dr. Tyler Cody and