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Field
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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prompt design as a controlled manipulation, generative voice agent pipelines, conversation logging and transcription Extending and validating existing LLM based coding pipelines for transcript derived
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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
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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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sustainable creative work. Your work Study how AI agents and platform algorithms reshape co-creation, moral questions and business models in creative industries. Conduct ethnographic fieldwork with employees
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modelling, agentic AI, uncertainty estimation), and an interest in clinically-grounded oncology research. We particularly encourage applications from individuals across all groups traditionally
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
in applied artificial intelligence: in LLM-based assistance and agent systems, in knowledge provisioning, and in connecting language models with real tools and 3D simulation models. The focus is on
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, KY The Extension Agent for Family and Consumer Sciences will: develop, implement, and evaluate a plan of work based on locally identified needs, which will lead to improved quality of living