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across the University of Southampton in social sciences, public health and business. To be successful in the role you will have, or will be close to completing, a PhD (or equivalent professional
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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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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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partners that aspire to develop the next generation of inverter control. It is essential to have a PhD* or equivalent professional qualifications in Electrical/Power Systems, and especially in the areas
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for: A PhD* or equivalent qualification and experience in economics, statistics, operational research or another analytical discipline Excellent writing and communication skills Advanced knowledge
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of reinforcement learning with architecture-layer uncertainty. The work will involve mathematical modeling, formal method/reinforcement learning technique investigation and tool development. The results will be
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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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, 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
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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