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, machine-learning methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic
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in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending
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transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will
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, machine and deep learning, or artificial intelligence. Candidates should have the appropriate academic background and expertise to teach, develop courses and conduct research in such areas as
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successfully transitioned multiple capabilities for real-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s
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, shock, and compression testing of packaging systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate
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with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination of scientific results. The successful candidate will join a
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virtualization, mobile edge computing, cloud computing), Internet of Things, radio communication, machine learning, and understanding of computer network. Pay Band 4 Appointment Type Restricted Review Date 9/20
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify
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implications of virtualization. Preferred Qualifications • Basic understanding of artificial intelligence and machine learning. • Experience with Dell PowerEdge servers and related technologies. • Experience