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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. A 3.5-year PhD studentship in advanced NMR and data analysis is available in the University
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applications in the early round will be reconsidered with all other applications after 31 March. Only applications received via the online application tool will be considered. For more information on our
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specifically working with network constructs, network data, and/or mental models. Experience conducting qualitative fieldwork, particularly interviews. How to apply The first step is to email Dr Angela Guerrero
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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experiments; analyze and interpret data; maintain rigorous, reproducible records and workflows. Innovation: Develop and implement novel electrophysiological and complementary approaches as needed to answer
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are required to organise a minimum of four reports from referees. You may use the same referee for the Swinburne referee report and the professional reference (if appropriate). Information:
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, and data-driven analysis. The project will be supported by a strong research environment with experience in concrete behaviour at elevated temperatures, constitutive modelling, and advanced numerical
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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be conducted beginning May. Contact for enquiries Informal enquiries may be addressed to Prof Yafa Shanneik (ys32@soas.ac.uk ). For more information: RELI-GENE: Governing Health, Family and Religion
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surveys and field experiments Ability to organise data collection Proactive in engagement with stakeholders and local communities, and setting up collaborations and on-site research activities We look for