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Field
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body
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. The research will also investigate how autonomous vessels affect collaboration and dependencies among stakeholders. Using agent-based modelling and scenario analyses, the researcher will evaluate alternative
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program on Working Package 3, which focuses on a demonstrator illustrating the application of the mathematical theory of multi-agent viability in monetary economics. Designing a Model for Applying multi
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cell transplantation for malignant and non-malignant diseases, extensive development and use of cutting-edge flow cytometry, molecular biology, experimental therapeutics studies on novel agents, and cell
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agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and organizational skills. Demonstrated capability to work effectively in
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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scientific data handling Familiarity with: Multi-agent systems or autonomous systems Optimization under constraints Experience in: Knowledge graphs, NLP, or information extraction (a strong plus) Application
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or Classics). Equipped with knowledge or practical experience of agentic AI or AI-assisted workflows, they will have experience of Digital Humanities research and of working with geospatial data and ArcGIS, as
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and