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seal potential and leakage risk using established fault seal methodologies. Integrate structural, petrophysical, and fluid distribution datasets. Contribute to development of fault property databases
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the PhD programme. If you have not already studied a degree programme that was taught and examined in the medium of English, the minimum overall IELTS score is 6.5 with no score lower than 6.0 in Reading
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(equivalent 5 days per week) Project Summary We are seeking a highly motivated Postdoctoral Researcher to join the Edinburgh Time-Lapse Project (ETLP) and contribute to advancing our research programme in 4D
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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annual leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards
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Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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activities of the project Work closely with senior decision makers in the industry to enable a programme of work and the measurement of this; participate in, and develop, networks and collaborations both
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Essential & Desirable Criteria Essential PhD in relevant discipline (computer modelling of logistics or transport, agent-based modelling, sustainable logistics, or energy transitions) or equivalent industry
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‑of‑the‑art computational featurisation with experimental reaction‑kinetics data to build a machine‑learning platform capable of predicting catalyst performance. This is an exciting, highly collaborative
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related areas. Following the initial two-year project phase, the post-holder will transition into a core Teaching and Scholarship role within the School of Mathematical and Computer Sciences. This will