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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
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Description Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs
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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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Portal: https://apply.interfolio.com/174339 Strategic Impact and Vision Drug development faces significant challenges, including high costs, long timelines, and a 90% failure rate in clinical trials. AI
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stabilizing emulsions will be first assessed through macroscopic observation, turbidimetry (under normal and accelerated gravity), and confocal microscopy. The best suited systems will be characterized directly
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the characteristics of particle beams to be used in compact radiation sources, through numerical simulations and experimental measurements. This activity is part of the European PACRI project (Plasma Accelerator
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our website to view information about our Facilities: https://www.cruk.manchester.ac.uk/facilities/ About you: You should have: PhD in a relevant life sciences discipline or equivalent senior experience
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all Salesforce products in use. This candidate will have expertise in building and deploying AI solutions using low-code/no-code platforms (Microsoft Power Apps, OutSystems, StackAI) to accelerate
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targeting identified skills gaps and needs to accelerate blue innovation in the maritime sector. Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of training courses