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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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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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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python
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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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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world
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tangible interactions is a plus. You can also demonstrate your competence in HCI methods including: user study methodologies, experimental design work, ranging from in-lab to in-the-wild deployments, and
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Experience of using qualitative and quantitative research methods Proven ability to organise a range of high quality research activities to deadline and quality standards Experience of managing and undertaking