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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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We wish to appoint a Research Fellow/Senior Research Assistant for a duration of four months full time/part time equivalent to work within a research team to conduct a mixed methods evaluation of
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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position will require laboratory experience to work on current projects using scientific methods. In addition, you will identify procedures, preparing tenders and work scopes to meet client needs and
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to novel and new methods in teaching and learning, and the school actively supports delivery of innovative teaching methods and approaches. You will also be responsible for a defined administrative role
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security. It has a strong reputation in the application of cutting-edge research methods, ranging from political ethnography to experimental social science. The role We are seeking to further strengthen
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governance applications. The successful candidates will have a PhD (or nearing completion) or equivalent professional qualifications and experience in Cancer Care/Nursing /Health Services Research/related
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address this, you will adopt a novel "top-down" strategy, directly opposed to the current materials discovery methods, to accelerate materials development for creep-fatigue environments. Specifically, you
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detailed understanding. This is likely to have been gained through considerable work experience, including clinical trials and other well-designed studies, as well as formal qualifications equivalent to a
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services