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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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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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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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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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-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
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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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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 10 days ago
microenvironment, and improves CAR-T cell efficacy in preclinical models. The SPECIFIC AIMS of this project are: 1) to determine the impact of PSGL-1 blockade on the immunophenotype and transcriptional programs