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Job Posting Title: Postdoctoral Fellow - TMI, Agentic AI, Texas Materials Institute, Cockrell School of Engineering ---- Hiring Department: Walker Department of Mechanical Engineering ---- Position
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. The research will be conducted within the MIST project (Scalable Mechanistic Interpretability for Safe and Trustworthy LLM Agents), recently funded by the Novo Nordisk Foundation. The project aims to develop new
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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industry to facilitate and coordinate new research collaboration and initiatives Proficiency in relevant programming, data analysis and modelling tools (e.g., Python, AI/ML, Simulation software – SUMO, Agent
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on designing and implementing a reclamation process for novel capture agents, ensuring process efficiency, economic viability, and minimal environmental impact. This is a unique opportunity to work at the
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 3 hours ago
settings. We are seeking a dynamic and interdisciplinary scholar with expertise in science education and/or the learning sciences, and demonstrated experience with NetLogo or similar agent-based modeling
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. Purpose Engineer and productionize components of PIN agents and the supporting training/experiment stack: scalable simulation/emulation harnesses, on‑node runtimes, telemetry, and CI/CD. You’ll collaborate
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experience in presenting scientific work. Preference for candidates with experience in: -Complex networks and systems modelling and simulation. -Discrete dynamical systems (cellular automata, agent-based, etc
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chemical threat agents for protection of soldiers and civilians. Scientific disciplines at USAMRICD include, but are not limited to, chemistry, biology, biochemistry, pharmacology, molecular biology
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. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted