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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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of the Postdoc Research Fellows are the following: Research: · Work on novel AI/Data Science research with crucial interdisciplinary scope using machine/deep learning, generative/agentic AI, and knowledge
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or orthotopic tumour models Supporting preclinical treatment studies involving standard-of-care or experimental agents Applying in vivo imaging techniques (e.g., bioluminescence imaging) to monitor tumour
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the chemical synthesis of a range of candidate compounds, oversee their formulation into drug delivery vehicles with the ultimate goal of achieving demonstration of potential for new therapeutic agents against
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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, a spatially-explicit agent-based model of land use change in Great Britain. This will be coupled with a system dynamics model of macro-scale drivers of land system change. Working with colleagues from
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therapeutics deployed to treat advanced cancer including therapeutics that exploit DNA repair deficiency and immune-based agents. We are recruiting a Post-Doctoral Fellow to engage in laboratory-based studies
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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of Europe’s most vibrant hub for artificial intelligence research. A list of concrete potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new
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stress contagion and collective motion, as well as survey data of emotional states and personality metrics. Modeling efforts will focus on agent-based approaches, which may include both simulation studies