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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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parameter space, and using and/or developing agent-based models for the movement and behavior of fish in rivers. Presenting material at conferences, writing research papers for publication, and/or assisting
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the collaboration with external partners (including companies, non-profits, and other academics) that are providing the tasks that constitute the benchmark; running AI agents built on Large Language Models (LLMs
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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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, linked to a radioisotope emitting ionizing radiation. During their preclinical development phase, these therapeutic agents are administered to tumor-bearing rodents undergoing longitudinal small-animal
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment
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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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to identify user needs and requirements for efficient, scalable and reliable data pipelines and models that support data-driven initiatives. Support automation of operational workflows using Agentic AI
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to different incentive attributes such as insurance or material (reserved land) For potential future inhabitants, you will model the choices made by individuals, based on their wealth, when offered