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Field
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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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projects that will provide ground-breaking technological advances based on ultrasound transducer arrays. At the Imaging Physics Department, Faculty of Applied Sciences, we develop innovative measurement
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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
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virulence and host resistance, as well as characterizing microbial biocontrol agents. The successful candidate will employ resistance screening of hosts, transcriptomic and genomic profiling to compare
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AI agents (cloud-based and edge AI) and related tools for cold supply chains. Participate in and/or lead stakeholder engagement efforts. Supervise and collaborate with graduate students in laboratory
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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle the world’s most pressing
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. • Familiarity with MODFLOW, MATPOWER, OpenDSS, Machine Learning based emulators, or agent-based modeling. • Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems