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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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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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experience in airway biology and advanced primary cellular models, integrating molecular, imaging and cell biology methods. Knowledge of CRISPR/Cas9 methods is welcomed. You must be a good team worker
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. Application procedure This post is suitable for psychologists or data managers with a strong background in quantitative research methods and statistics and is available now. For additional information/informal
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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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skills within the relevant clinical departments of University Hospital Southampton cancer services. The post is not formally recognised for training but there are well-developed site specialised
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methods is also desired. In our study we are investigating whether it is possible to predict how many nurses are needed on hospital wards from routinely collected data. You will have an interest in
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, you will be based in the Aerodynamics and Flight Mechanics research group comprised of experts in theoretical, computational and experimental methods and our aim is to provide an environment in which
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leaders, local authorities, and non-governmental organisations Required skills Demonstrable expertise in qualitative research methods, including experience with NVivo or other thematic analysis approaches
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be successful in the role you will have, or will be close to completing, a PhD (or equivalent professional qualifications) with strong qualitative research methods skills in a relevant discipline (e.g