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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
protecting client data, together with practical guidelines and tools for developers and organisations deploying agentic AI systems. Conduct original research on privacy and security for LLM-based and multi
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shape relational aspects of work. Identify the mechanisms through which AI-mediated contributions and autonomous agents reshape relational dynamics, and develop evidence-based guidance for responsible and
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disciplines. Generative AI and AI agents are rapidly changing how software-based systems are being designed, developed, and evaluated. While AI agents have become common in certain Software Engineering tasks
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/en/apply/application/language-requirement/english… ) Passport copy Academic text (max 7000 words) Aptitude test or sufficient GPA (see requirements at: https://www.hanken.fi/en/apply/application/phd
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motivation to apply.) A copy of your thesis (or an extended abstract if still in progress) Official transcripts for both your Bachelor's and Master's degrees Fill out this form (optional but encouraged): https
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motivation to apply.) A copy of your thesis (or an extended abstract if still in progress) Official transcripts for both your Bachelor's and Master's degrees Fill out this form (optional but encouraged): https
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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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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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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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familiarity with bioinformatics workflows for microbiome, genomic, or ARG data. Computational modeling & systems thinking Strong quantitative aptitude and interest in agent-based modeling, simulation, and