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Field
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network, human agency means the practical ability to understand AI
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agentic software can change the way scientists interact with complex imaging pipelines – for example, by allowing users to formulate analysis tasks at a high level while software agents orchestrate
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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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related field, to contribute to the ERC Proof of Concept project LDL-ACT. LDL-ACT builds on FastBio, a multi-omics study that investigates the molecular impact of dietary restriction in humans. LDL-ACT aims
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explore new mathematical and computational approaches to represent such systems, drawing on ideas from stochastic processes, four-dimensional (space-time) modelling, complex systems, agent-based modelling
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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across
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stands where trees show severe crown deterioration or mortality and the causal agents remain unresolved. The project is based at the Southern Swedish Forest Research Centre in Alnarp and is part of Trees
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and the causal agents remain unresolved. The project is based at the Southern Swedish Forest Research Centre in Alnarp and is part of Trees For Me, a Centre of Excellence focused on fast-growing