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Field
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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🔬 Exciting Research Opportunity: PhD/MSc Position in Cancer Therapeutics🏢 Eastern R&D Center, Israel, Ariel University, Israel.Our lab is pioneering peptide-based theranostic agents
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
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to the following: Develop a comprehensive understanding of the oxidation kinetics and mechanisms using different oxidising agents. • Develop a comprehensive understanding of the leaching kinetics and
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the Department of Chemistry at the University of Iowa is searching for one or two postdoctoral research scientists to investigate two different projects: Project 1: Effect of a Change Agent in Doctoral Education
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
via probability distributions. Another approach is based on the use of multi-agent reinforcement learning methods of the actor-critic type. In particular, we will seek to establish convergence
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for the detection of radioactive gases (in particular those based on iodine) that may be emitted during a nuclear accident. However, these technologies show limitations that make their use impossible in a severe
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agreement (preferably, 2025 Q2) Duration: Yearly contract for 3(+1) years, renewable based on performance and funding availability About the Position The successful candidate will contribute
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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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. The integration of Knowledge Graphs (KGs) with AI agents will link the data and the actions taken by AI agents. Reinforcement Learning from Human Feedback (RLHF) will enable AI to learn and adapt based on real-time