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Field
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, the participant will learn HPC computing technologies and techniques in genomic epidemiology and machine learning to quantify drivers of IAV evolution in swine using data generated from IAV surveillance in human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
motivated Postdoctoral Research Fellow with expertise in systems pharmacology, machine learning, and/or data science to join our interdisciplinary team. The successful candidate will work at the intersection
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Applications are invited for an ambitious Postdoctoral Research Associate/Fellow to work on the development of new optical memristor devices. Memristor (or resistive memory) is a form of non
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Overview of the Role Are you experienced in machine learning and looking to apply your skills to solve new challenges and reduce disaster risk? Do you want to further your career in one of the UKs
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Collaborate in the use of remote sensing and machine learning methods to detect A. longifolia and to monitor the spread and effects of the biological control agent (occasional collaboration). Activity 4
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of the programs is to advance foundational and applied research in contemporary artificial intelligence (AI) and machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
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Cornell University, Society for the Humanities Position ID: Cornell-Society for the Humanities-POSTDOCSTS [#30301, WDR-00046364] Position Title: Position Type: Postdoctoral Position Location: Ithaca
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closely related field (e.g. Chemistry, Physics, Biophysics, Biochemistry, Molecular biology, etc) Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA
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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry