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AI models. Identifying relevant modalities to enhance prediction performance, with a focus on multi-spectral sensors, will be a key research area. Additionally, anomaly detection for modalities other
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experts in the prognostics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University. About the host University/Centre Cranfield is an
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, the cores of the systems’ reasoning engines typically remain ‘symbolic’ (knowledge-based). These symbolic or neuro-symbolic software systems are of high practical complexity, which makes them difficult
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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student will take advantage of state-of-the-art soft polymer fabrication (3D/4D printing) and characterisation (i.e. electro-mechanical multi-axial testing rigs) equipment and the latest computational
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. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and
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at the Newcastle Helix site in Newcastle City Centre, with state-of-the-art facilities. Extensive career support and mentoring is available to all team members, and a generous budget for travel and computing
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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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that are conducive to successful completion of the problem at hand. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). The ideal
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cell transplantation (allo-SCT). The laboratories of the PIs are based within the Leibniz Institute for Immunotherapy (LIT, Poeck) and in the Center for Translational Cancer Research (TranslaTUM, Ruland