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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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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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intelligent flight control systems capable of dynamically adapting to internal changes (e.g., component faults, geometry-configuration changes) and external perturbations (e.g., turbulence). The project will
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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
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synthetically challenging. You will develop methods to improve the synthesis of endohedral fullerenes, and look at further modification, particularly through the use of e-beam irradiation (e.g. ACS Nano 2020, 14
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qualifications) with strong quantitative research methods skills in a relevant discipline (e.g. geography, public health, social policy, epidemiology, operations research); have knowledge and expertise in
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-spoofing systems optimized for edge devices Researching methods for audio quality estimation and enhancement in resource-constrained environments Creating innovative voice analysis techniques that can
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(quantitative/network meta-analysis) Medical statistics (survival analysis) HTA methods and processes * Applications will be considered from candidates who are working towards or nearing completion of a relevant
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learning methods for analysis of data from synchrotron experiments. You will work as a team and jointly with our collaborators to prepare samples, attend synchrotron experiments and analyse the resulting
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, or will be close to completing, a PhD (or equivalent professional qualifications) with a background in social policy and strong quantitative and qualitative research methods skills in a relevant