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decision-support environments). Knowledge of network science, knowledge graphs, temporal networks, graph-based modelling, or complex systems; Experience with simulation (e.g., epidemiological spread, agent
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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the accounting processes. Design, develop, and implement Explainable AI (XAI) systems, fuzzy logic models, and consensus‑based decision frameworks capable of processing large‑scale, heterogeneous financial data
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agents. What You'll Do Plans and conducts research independently and is responsible for data collection and analysis methods in accordance with laboratory goals. Collaborates with other research staff
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, biophysics, mathematics, or related field 8+ 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
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agents. What You'll Do Under close supervision of the principal investigator, other lab members, and senior scientists in collaborating labs who are familiar with the techniques required, the Research
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cues play a role analogous to conditioned stimuli: they are signals that, once learned, allow the agent to anticipate the consequences of its actions. Scientific Motivation: Learning-based navigation
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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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Japan and 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
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-based activities. We anticipate positions for the courses listed below. More details on each course can be found on the UMBS Courses webpage. ALA 264 (Michigan: People and Place in a Changing Climate