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Sciences Department beginning August 2026. This will be a full-time, on-site role, based in Keene, NH. We seek faculty who can create an inclusive, student-centered learning environment, integrate real-world
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+ years of experience with agent-based models or physics-based models 5+ years of experience managing a scientific team of 5 or more people 2+ years of experience working with a product management team to
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and develop complex, custom Artificial Intelligence models and applications. This role incorporates Machine Learning, Deep Learning, Computer Vision, Large Language Models, and Agentic AI technologies
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universities. A central component of this position is Extension. The faculty member will engage directly with county extension agents, producers, land managers, and agricultural stakeholders to translate
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delivery model and obtain services. Duties/Responsibilities Organizational Development and Strategic Partnership (40%) : Using independent judgment and metric based assessment of each organization’s climate
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experience in Game Theory and decision making; Research experience with decomposition optimization analysis; Research experience with agent-based modeling; Research experience with multiplex network analysis
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this we will be creating agentic AI models and in a joint effort between the Research Group for Genomic Epidemiology at DTU National Food Institute and Section of Epidemiology, Department of Health, UCPH we
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: Immunology, Animal Modeling, and Pathogen Unit. These units directly support resident DHVI/RBL faculty and are also available to support Duke faculty and their collaborators as fee-for-service shared
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-based modelling). Flexibility to travel and engage fully in academic and non-academic secondments abroad Specific Requirements As per the specific eligibility criteria of Marie Sklodowska-Curie Actions
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deployed in a variety of environments, ranging from public repositories such as Hugging Face, to proprietary cloud-based platforms, following the Model-as-a-Service (MaaS) paradigm. These models, whether