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emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization tools (e.g., dashboards, GIS, spatio
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
: https://computing.mit.edu/mit-multi-agent-ai-postdoctoral-fellowship-program/
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 1 month ago
: Attention Over Finite Memories. 2025. Preprint, hal-05080235v2. https://hal.science/hal-05080235/ - Developping resevoir models based on ReservoirPy and integrate them in the ReservoirPy github as tools
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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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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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-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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 9 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
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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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. 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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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