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Field
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-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your
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highly complex task, as sparse instrumentation does not guarantee direct sensing at all fatigue-critical locations of the substructure’s primary steel. Analytical solutions – so-called virtual sensing
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sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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and materials research that could not be addressed so far due to their high complexity, which prevents approaches that solely rely on classical mechanistic modeling or classical machine learning. Equal
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structures. Extract meaningful physical insights from complex data. Collaborative Research: Work closely with the research team, including Conroy group members, to refine experimental approaches. Engage with
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Birmingham City Council to start in October 2025. This PhD project aims to investigate how changes in travel modes can contribute to achieving net-zero emissions in urban transport. Specifically, it will
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passionate, curious, and driven individual, committed to accelerating the green transition by advancing autonomous solutions for wind power operations. You thrive on solving complex problems, ask bold and
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, Manchester, Sheffield, Monash (Australia) and Temple (USA). The centre is the first of its kind to study how vulnerabilities – such as exploitation by country lines drug networks, online child sexual