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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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researchers trained in high-impact, mixed-methods research. Within this research programme we will seek to answer the following six questions. 1. How well are the four UK jurisdictions performing on
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discipline. Strong background in heat transfer and thermal transport modelling. Experience with numerical methods for transport equations (e.g. BTE, kinetic methods, finite-volume / finite-difference
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nonlinear, ultrafast, and integrated photonics. Develop predictive theoretical and computational models for optical materials and photonic devices. Perform numerical modelling and simulation of optical
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research centre funded by a significant UKRI and stakeholder co-investment for a 5-year and £45M programme of challenge-led research into digital twinning for transport decarbonization. Digital twinning is
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University. This will provide plenty of opportunities to master state of the art research-grade lasers and develop applied optics skills, instrument control, numerical modelling and demonstrate fundamental
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quantum technologies. We use advanced cameras, optical detection technology, and computational methods to improve the quality of imaging systems in a range of applications. Areas where our technology is
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-keeper of all student information, programme and course details, as well as leading services that help students settle and stay at the University. This includes providing professional help and advice
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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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thermoelectric, heat transfer, energy systems, or advanced materials. Proficiency in using thermal and electrical measurement instruments for laboratory and field testing. Competence in numerical and multi‑physics