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transformational leap—from today’s typical power densities of 2–5 kW/kg to a step-change 10–25 kW/kg by 2035. The highest power dense motors today rely on unsustainable materials and on carbon-intensive
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(developed by B.J. Evans, O. Hassan and K. Morgan). This solver directly solves the Boltzmann-BGK model equation for the velocity distribution function, which is a fundamental quantity in rarefied gas
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that centres liveability and lived/living experience. More information about our project can be found here https://blogs.ed.ac.uk/discovering-liveability/ . The post requires in-person ethnographic work in an
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. The successful applicants are expected to work with Dr. Yihan Zhang on “Precise Asymptotics in High-Dimensional Statistics using Random Matrix Theory and Statistical Physics ”. Applicants with mathematics
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, the link arises because APE is created at high latitudes by strong surface cooling, cause APE anomalies to propagate along the western boundary. To test the new theory, the aim will be to diagnose the AMOC
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proportion to density which reduces the available contrast when attempting to discriminate high density materials. Magnetic induction spectroscopy (MIS) explores the interaction of magnetic fields with
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; Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 3 months ago
to commence in October 2025. Project Information Intersectionality theory describes the ways in which systems of discrimination/oppression are interdependent/interactive, producing inequalities that cannot be
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justice settings will be tested, (2) Risk Assessment: several risk assessment tools to enable an accurate assessment of need will also be tested. Methods for the initial two studies include the use
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. The CDT in Net Zero Aviation is the world’s first
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simulation regimes by harnessing and advancing the latest developments in AI Machine Learning. This studentship is a continuation of prior work that is looking at using new cutting-edge deep learning models