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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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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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, 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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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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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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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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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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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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alongside Facilitator UK Delivery Leads Professor Karen Watchman and Dr Kathryn Mackay. The role holder will report to Professor Karen Watchman. Information about the Facilitator, and other, IMPACT models can
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. Apply for this job See advertisement Job description Position as PhD Research Fellow in Data Quality and Integration in Circular Economy is available at the Department of Informatics, University of Oslo