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Field
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the IDS with in-network access control and policy enforcement. The role also involves collaboration with AI researchers integrating the in-network IDS with endpoint AI detection and agentic response models
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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay
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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
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 2 days ago
territorial indicators for multi-thematic monitoring; Identify cascading effects of environmental degradation on human health; Anticipate environmental and health-related changes; Apply Agent-Based Modelling
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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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software developers to integrate data‑driven models with mechanistic or physics‑based models and domain expertise; showing thought leadership on applying data & AI-solutions in the food & biobased domain
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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Your research is situated in the EU-funded Horizon Europe project EOSC-ARENA (AI Research Enhancement through Networked Agents), funded under the European Commission’s GenAI4EU initiative. The overall