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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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+ 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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modeling builds on agent-based modeling but focuses on relations, not agents, and emphasizes the role of the researchers and their tools in constituting the model and the generated knowledge (Schlüter et al
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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
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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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Limitation:Temporary (3 years) Contract:TV-L Your Tasks Develop and apply mathematical models (including microsimulation, agent-based, state-transition models) to simulate tools and interventions used before, during and
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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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