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and journals. You will be expected to: Conduct cutting-edge research in: Multi-Agent Systems (MAS) for complex, dynamic, and uncertain environments. Multi-Agent Reinforcement Learning (MARL), including
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, and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and
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develop both AI/ML and high fidelity CFD models of the AM process. You will work closely with industrial collaborators, including Meggitt Aerospace Ltd (a subsidiary of Parker Hannifin Corporation). You
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models
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search of an exceptional postdoctoral fellow to join the research team. The laboratory is situated in the heart of Michigan Medicine at the North Campus Research Complex in a newly renovated laboratory
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Location: Stirling Campus The Post Applications are invited for a Postdoctoral Research Fellow in the field of glacier modelling to work for a period of up to 36 months. The glacier modeller will
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detailed analyses, but working closely with Justice Futures and their interest in systems approaches to develop an understanding of the complexity, blockages and opportunities across the various systems
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of the following projects: The molecular regulation of insulin secretion. In particular, the characterization of new (unpublished) transgenic models to study SENP1 (e.g. PMID: 38184650) The development of novel
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degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and