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Field
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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against tomato early blight caused by Alternaria spp., pathogenic fungi that produce mycotoxins posing a risk to consumer health in tomatoes and tomato-based products (purées, coulis, sauces, ketchup, etc
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for computing performance guarantees of autonomous AI agents under uncertainty, which will be integrated to various degrees into a use-case with self-driving shuttles. Based on your experience and interests, you
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your help! We have several fully-funded open PhD and Post-Doc positions (m/f) A list of concrete potential projects: Development of modern auto-differentiation (JAX-based) physics simulators
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) and flooding events in coastal communities in Ireland initially, this 2.5-year project will create a digital twin of Ireland, underpinned by a dynamic agent-based model of the Irish population
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applications for biomedical research. The candidate’s work will focus on developing AI methods, training AI models, and creating agentic AI workflows on DOE supercomputers and applying them to population-level
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, supply chain resilience, and lifecycle sustainability. The successful candidate will lead and conduct independent research in optimization, systems modeling, agent-based modeling (ABM), and network
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 5 days ago
multicharge surfactants of dedicated functionality and evaluate their usefulness. A specific focus of is based on the research hypothesis that it is essential to ascertain a link between the surfactant
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engineering or related fields. Candidates should have a strong research record in LLM-based agents, reinforcement learning, or large language models, preferably in areas closely aligned with the topics outlined