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Field
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to quantify groundwater exchange and assess carbon exchange. Analyze and model carbon export data to improve regional carbon budgets and integrate findings into climate models. Collaborate with international
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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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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
considered. For further enquiries about the positions, please contact Professor David Taylor (geodmt@nus.edu.sg ). More Information Location: Kent Ridge Campus Organization: Asia Research Institute Department
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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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of publications Publications (in PDF) it is important that each of the scholarly works on which the committee should place special emphasis, is attached in its entirety Two references (name and contact information
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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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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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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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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including