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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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will be primarily based at Main Sterilization in the Health Sciences building on the main UW campus and will float as needed to the Magnuson Sterilization location, which is located our Sandpoint
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Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu ) at The Ohio State University (OSU) is currently seeking applicants
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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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latency constraints. - Federated and distributed learning for RAN hardware infrastructure management. o Knowledge of autonomous AI systems based on agents. Indicative skills/experience: - Multi-Agent
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documentation (reports and specification notes).; - Develop simulation models (e.g., agent-based/spatial) of animal movement and pasture dynamics, calibrated from real data.; - Integrate ML forecasts (meteorology
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is
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. Expertise in Large Language Models (LLMs) and related frameworks (e.g., LangChain, Transformers) Proficiency in prompt engineering techniques for optimizing LLM performance Strong understanding of agentic AI
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-focused. It does not involve application-level SQL development, query rewriting, or logical data modeling. Key Responsibilities: Software Lifecycle: Install, configure, and patch RDBMS binaries (Oracle