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Field
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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
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computational models for industrial capacity planning, logistics optimization, material flow analysis, and supply chain analysis. Apply artificial intelligence, machine learning, LLMs, and advanced statistical
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in materials for electrochemistry. While the focus in on computational expertise, this position will involve some experimental work in adapting workflows for automation and artificial intelligence
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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Ferreira Zandoná (College of Dentistry) at The Ohio State University. This position offers a unique opportunity to lead cutting-edge research at the intersection of artificial intelligence and dental health
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Position Description Subject Area 1. Pure Mathematics 2. Applied Mathematics 3. Statistics 4. Computer Science 5. Artificial Intelligence 6. Cyberspace Security Qualifications: 1. Demonstrating
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cutting-edge fields. Explore opportunities in exciting fields like: Artificial Intelligence Nuclear Security Energy Security Cybersecurity Environmental Management Research, Technology and Economic Security
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months 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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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level
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lines address the merging of iontronics with magnetism through magneto-ionic nanomaterials and devices, as well as efforts to bridge artificial and natural memory, linking fundamental materials science