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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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fungal infections. Emerging research is exploring radiometals conjugated with targeting molecules for in vivo imaging of infections via PET or SPECT. These agents can also be linked to therapeutics
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., 2022. Calibrated Photoacoustic Spectrometer Based on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A
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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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-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
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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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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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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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at the rank of Assistant Professor in Forest Ecology and Modeling Research. This 100% research appointment will be administratively based at the Blackland Research and Extension Center in Temple, Texas, with