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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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Intercropping of cover crops and vegetables to mitigate nitrate leaching and improve soil health in organic farming Applicants are invited for a PhD Fellowship/Scholarship at Graduate School
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific
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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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employment period is three years. A premise for employment is that the PhD Research Fellow will be enrolled in USN's PhD-program in Technology within three months after accession. About the PhD-project
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Number: 6480973 Postdoctoral Research Fellow About the Opportunity Job Summary The department of Electrical and Computer Engineering and Institute for the Wireless Internet of Things (WIoT) is seeking a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties
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tutorials. Job Requirements: Master degree (Research Associate) and PhD (Research Fellow) in Electrical Engineering, Computer Science, Mechanical Engineering, or other related fields. Solid Mathematical and
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About Cookies Cookies and related technologies (herein “Cookies”) are small text files that a website saves on your computer when you visit the site. Cookies the University sets are called first