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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End
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modeling builds on agent-based modeling but focuses on relations, not agents, and emphasizes the role of the researchers and their tools in constituting the model and the generated knowledge (Schlüter et al
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this we will be creating agentic AI models and in a joint effort between the Research Group for Genomic Epidemiology at DTU National Food Institute and Section of Epidemiology, Department of Health, UCPH we
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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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at the rank of Assistant Professor in Forest Ecology and Modeling Research. This 100% research appointment will be administratively based at the Blackland Research and Extension Center in Temple, Texas, with
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, demonstrating mastery of digital engineering, model-based systems engineering (MBSE), enterprise data strategy, and acquisition modernization across the Nuclear Security Enterprise. • Apply mastery-level
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IACUC tasks Review IACUC protocols (new submissions, renewals, amendments) across a broad range of animal models and research paradigms and provide recommendations to maintain compliance, enhance animal
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Student Instructors (GEO GSIs) to engage in team-based teaching for our 2026 Spring and Summer Half-Term Biology and Ecology and Evolutionary Biology (EEB) and interdisciplinary courses (0.35 effort). These
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structures. Generative Design & Latent Space Optimisation: Leveraging generative models and agentic architectures to automate the discovery of high-performance structural configurations of medical devices