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Senior Researcher to support the delivery of a range of funded applied health research projects, providing qualitative and mixed methods process evaluations. This is an exciting opportunity for someone who
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internationally recognised for its research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable
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learning and artificial intelligence methods in spatial analysis within the Department. Land Economy is defined as the multidisciplinary study of how society interacts with the environment, both natural and
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Extensive experience working in bioinformatics with large
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to Tackle Modern Slavery’, led by Dr Rowland Seymour. The successful candidate will join a diverse and friendly research group with PhD students and a Research Software Engineer. The goal of the project is to
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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early communication outcomes. The role involves applied, mixed-methods research across two stages: exploratory interviews, focus groups, and surveys with childminders, followed by a formative evaluation