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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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doctoral training programme dedicated to academic research in space propulsion. R2T2 PhD programmes are already underway at nine UK universities, and the programme overall is centred on the Westcott facility
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component modeling and testing. Knowledge or classwork related to energy systems with design and computational model analysis using engineering software will be necessary. Demonstrated research capability and
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, Karen, Oromo, and Somali. The supervisor for this position is Jacob Oertel, RIDGS Program Coordinator. Appointment Dates ● Fall Semester 2025 appointment dates are August 25 - January 7, 2026 ● Spring
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. A policy internship at a relevant organisation is embedded into this programme. Number Of Awards One Start Date 5th January 2026 Award Duration 3.5 Years Application Closing Date 30th September 2025
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individual able to progress both the mathematical, computational and laboratory aspects of the project to maximum effect. This scholarship covers the full cost of tuition fees and an annual stipend at UKRI
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performance. Duties and responsibilities include the development of new abstractions and algorithms using computational sheaf theory. Such algorithms will be developed for understanding composite energy-driven
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
, environmental engineering/science, computer science, industrial or mechanical engineering, and decision science. The successful candidate will contribute to ongoing NSF-funded research projects during the initial
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and