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tailored multi-objective evolutionary algorithms for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in
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. Position Title DC1: Multi-hazard assessment for industrial facilities in Europe Research Project and Objectives This project aims to develop a multi-hazard assessment framework for CI, including cascading
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on transport infrastructure. Objectives Derive detailed spatial information on dikes, reservoirs, and other relevant flood protection infrastructure from high-resolution digital elevation models and open-access
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associated threats. The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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addition, you should be able to work efficiently as part of a collaborative research team and take responsibility for your individual research objectives. You must have a two-year master's degree (120 ECTS
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A track record of curating a Public Programme Start date: October 2025 Mode: Full-time, funded Location: City Campus (Gloucester) Please send a brief CV and covering letter by email outlining your
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What do we expect from you? You have obtained a master’s degree in artificial intelligence, computer science, mathematics or a related domain. You have a solid academic track record, at least at the cum
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives (1