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Field
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particular focus on increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments
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interested in understanding how errors arise and compound in extended or agentic workflows, and how humans can efficiently assess and verify AI-generated work. Possible research directions include developing
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position The lab is looking for a postdoc to further develop agentic pipelines that autonomously manage computational tasks: You oversee dozens of computational biology tasks across biological disciplines
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to achieve the project’s objectives, with a particular emphasis on efficient and safe learning approaches for collaborative multi-agent reinforcement learning tasks. You will contribute to advancing BOLD’s
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
intelligence (AI), machine learning (ML), deep learning (DL), LLMs, genomics, agentic AI, computational chemistry and related areas. Proficiency in programming languages commonly used in bioinformatics and AI
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Experience with working on mouse models, behavioral testing, drug efficacy and toxicity studies, pharmacokinetic/pharmacodynamic analyses, and testing of antiretroviral or other therapeutic agents is highly
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research teams: 1) The AI Group: Experts in systems, control, optimization, Large Language Model (LLM) training, domain adaptation, and instruction tuning, agentic AI orchestration, and reinforcement
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A 3-year postdoc position in artificial intelligence is available at the Bernoulli Institute of the University of Groningen in the Netherlands. The position is situated in the multi-agent systems
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. You will build simulation agents that predict materials properties (such as Li-ion conductivity in solid electrolytes) autonomously and at scale, validate them against thousands of real A-Lab
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. Research Project: Research with select agents and toxins provides important scientific discoveries that have led to improved detection and prevention of human, animal and plant diseases, as