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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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in peer-reviewed research articles for publication. Desirable: F1 Experience researching environmental sustainability considerations of business activities. F2 Experience with agent-based modelling
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implemented to address this – from family-centred interventions, to resource provision. However, impacts are often distal and diffuse, making it difficult to make evidence-based judgements on which initiatives
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for high resolution imaging, developing computational models of islet blood flow changes; characterizing and applying novel ultrasound contrast agents including molecular targeted agents; and use of contrast
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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Communications . We are looking for a candidate with expertise in computational social science, such as (but not limited to) evolutionary game theory, agent based modelling and computational behavioural economics
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foundation models and agentic AI models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi
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Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London at the South
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of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in Micro- & Optoelectronics, multidimensional signal processing, and
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staff member engaged in research in systems science or mathematical sciences, such as systems and control, mathematical modeling, physical AI, or multi-agent systems. The successful applicant will be