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Field
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-informed neural networks (PINNs) for integrating mechanistic constraints into ML frameworks, and creating LLM-based agents to assist with mechanistic model construction and knowledge curation. Track B
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the model plant pathogens Botrytis cinerea and Phytophthora infestans we will investigate their immune reactions and evolutionary responses to experimental selection by biocontrol agents including
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modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or2.Computational social scientists with experience in empirical research and/or theoretical
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: Title of Post: Post Doctoral Researcher (Level 1) AI-Minds Project: Trustworthy AI Large Language Educational Models JOB SYNOPSIS Post Doctoral Researcher to develop agentic LLMs tailored to immersive
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) 4+ years’ experience in Matlab™/C++/Python 2+ years’ experience with acoustic modeling software (k-Wave, FOCUS, Field II) 2_ years’ formulating and characterizing nanoparticles or contrast agents
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joint. We will validate this model by evaluating both established anti-inflammatory drugs and novel disease-modifying agents currently under development. Additionally, chiron will initiate essential steps
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address scientific problems in pharmacology and medicine. Build and adapt AI-assisted tools (e.g., LLM-based agents) to support mechanistic model development and biomedical knowledge integration. Implement
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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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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics