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AMD using omics data generated within the consortium. The models will then be integrated into an agent-based multi-scale model (ABM) to create a digital twin of the retina affected by AMD, simulating
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captured in a structured, machine readable dataset to support AI model development and give feedback on material realizability. Where to apply Website https://www.academictransfer.com/en/jobs/364461/phd
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 months 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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research direction is the integration of strategic transport models, such as discrete choice modelling (DCM) with agent-based modelling (ABM), to examine potential transport behaviour under different
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will design, synthesize and evaluate new imaging agents, study their photochemical behavior, and support their evaluation in biological models. They will be supported by a team, including PIs (Szymanski
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to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of
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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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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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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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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