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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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, applied statistics, survey methodology and/or (online) data collection methods, and a commitment to excellence in research and education. (The post is also suitable for a research fellow/senior research
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microscopy, X-ray diffraction), high-temperature mechanical testing. You should have a strong motivation to conduct interdisciplinary research at the interface of materials science, data science, and
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inclusive working environment where everyone can thrive. We welcome applications from candidates who are committed to supporting this objective. For more information about this role, please contact Prof
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ability to communicate new and complex information effectively, both verbally and in writing, engaging the interest and enthusiasm of the target audience. be able to organise your own activities and
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will hold a PhD in a related subject or nearing the completion of your PhD. This role is full time, fixed term for 22 months For further information please refer to http://www-mobile.ecs.soton.ac.uk or
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agreement and aligned to local business needs. For further information about the position, email Sue Jenkins, School of Engineering Operations Manager, at s.jenkins@soton.ac.uk . Working at the University
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experience in qualitative and quantitative data skills in health research. Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The
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). For further information on this exciting new role, please refer to the job description below. Please attach CV and covering letter to your application. Please note that this role will initially be contracted
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WellthLab . The WellthLab's mission is to explore how interactive technologies can support people to feel, how they feel, better. Our philosophy is to design for a minimal data dose, and our main methodology