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Field
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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
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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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of the projects. The recruited researchers will join one of the 4 research packages with the following overall objectives : Developing next-generation contrast agents to visualize protein aggregation due
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resistance/relapse following immunotherapy such as CAR T and developing novel agents for protecting hematopoietic stem cells following radiation exposure. The overall duties and responsibilities are: 1
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 14 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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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation
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intensive multi-cellular agent based models (ABMs) of Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists
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an exciting approach to agentic, fully autonomous thin film development using a combination of automated electroplating, in-operando measurements, and AI driven algorithms. He or she will work with a team of
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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engineering. Familiarity with optimization, agent-based modeling, or systems dynamics. Prior work in interdisciplinary, international, or applied research collaborations. Strong programming and data integration