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Field
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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in the development of novel sustainable catalysts, and support on reaction modelling to benchmark the microwave process against alternative technologies (as assessed by our partners). The successful
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imaging and viral/drug/ASO delivery. Identify and develop suitable approaches for the collection and analysis of data. Maintain accurate and complete records of all findings, and ensure the validity and
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Based in the Faculty of Engineering at the University of Nottingham, this role will focus on electromagnetic design, modelling and validation of microwave heating technologies for the BioIron
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such falls prevention programmes at a national level. The successful candidate will lead and coordinate data collection efforts for cost-effectiveness analyses, including obtaining and harmonising healthcare
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Apply Now How to Apply Application Includes: CV Research statement (250-500 words) Statement of professional goals (250-500 words) Contact information of 3 professional references Job Summary The
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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oncology clinic where they can work on a translational project and generate preliminary data for a PhD. Examples of programmes on-going include using peripheral immune cells to predict immunotherapy response