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Net Zero 2050 goals, electric motors must undergo a 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
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, there is no consensus on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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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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, 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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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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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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Applications are invited for a Postdoctoral Research Associate position in cellular biophysics in the group of Prof. Ewa Paluch. The Paluch lab studies cellular morphogenesis combining cell and
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Photovoltaic Modelling for Performance Optimisation Theme 3: AI-Enhanced Coordination of Renewable Energy for Smarter Grid Management Theme 4: Decoding Social Acceptance: The Community Lens on Large-Scale Solar
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Institutes (Research Institutes of Sweden) to large industrial manufacturers (UPM-KYMMENE ). The student will also work alongside a Postdoctoral researcher at Nottingham to design and create small scale