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on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b14-primates-as-agents-of-dispersal-gastrointestinal-food-transit-time-and-its-downstream-effects-on-ecosystem
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learning with knowledge-based inference, validated by independent experiments and partially supervised by human-in-the-loop systems. A key question will be how agentic AI and foundation models can be
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the relevant field of study or possession of equivalent experience. Artificial Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu
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, Associate, or Full Professor whose research and teaching advance core AI and ML theory, foundation models and generative AI, reinforcement learning and autonomous agents, hardware and systems for AI, edge and
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healthcare and build AI agent workflows integrated with clinical and research environments. Expert in HPC-based training of large language models and hybrid HPC–cloud optimization for biomedical AI workloads
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation
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proposal may include, in addition to spatio-temporal analysis, innovative methodological approaches (e.g., agent-based models or other methods consistent with the objectives of the DIAMETROIT project). More
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research projects. Developing innovative methodologies for analyzing massive datasets in both cloud-based and on-premises environments, including experience in building agentic AI tools that integrate
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efficiently model structured dynamics, such as non-Markovian stochastic processes, and adaptive agents that react to environmental stimuli. The successful candidate will explore this structure, to understand