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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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silica or zirconia particles, using templating agents to control their morphology.1 Further, by careful surface modification of the particles, we can add a polymer shell around these anisotropic cores via
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, this cohort of funded students will receive training in machine learning and AI methods at the University, together with training in the fundamentals of air traffic control at NATS, based at Whiteley
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goals, generate task plans, and work safely and effectively alongside human operators in industrial settings. Recent advances in large language models (LLMs) and agent-based AI systems offer unprecedented
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REQUIREMENTS Research Assistant AI Agent (Hourly) Penn State Brandywine & Penn State Great Valley (Yang) Penn State Brandywine and Penn State Great Valley faculty, Xianfang (Sharon) Tan, Ph.D., Luna Yang, Ph.D
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of genetic loci and chromosomal rearrangements. • Develop and analyze individual-based (agent-based) models programmed in SLiM or C++ to test the robustness of analytical results (e.g., accounting for genetic
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staff position within a Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 2-year fixed term with a possibility for +1
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Start date and location October 2026 onwards, based at Harper Adams University, Edgmond, Shropshire, UK. Funding The studentship covers the current Home Student (UK, Isle of Man & Channel Isles) tuition
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project “Responsible AI for the Swiss Judiciary” at ETH Zurich. The project develops and evaluates AI-based prototypes to support judicial decision-making, with a focus on real-world applicability. It
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on complex CO₂ transformations—with applied research aimed at developing more sustainable and circular fermentation processes. We will seek to adapt boron- and silane-based reducing agents, as