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(i.e. LCD TVs). Augmented (AR) and Virtual Reality (VR) technologies are the next logical step in display device technology; however, they require novel solutions in engineering and physics to overcome
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impacts of barrier winds and tip jets in current and future climates via time-slice comparisons from state-of-the-art climate model simulations. Training You will use observations from a series of Norwegian
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-resolution metagenomics and work with population genetics theory. This will cumulate in a new understanding of host-microbial interactions through acclimatization and adaptation, that will be validated in
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Application deadline: All year round Research theme: Photonics, Quantum technology, Optomechanics This 3.5-year PhD project is funded by the Department of Engineering. The position is part of
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the Electrical Power group. You will have the opportunity to contribute to other, strategic EPSRC projects such as the Supergen Energy Networks Hub and Energy the Demand Research Centre . Other collaboration and
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Finance Engineering (Mechanical, Electrical, Civil, etc.) Data Science Start Date 1 October 2026 Funding ARIES studentships are subject to UKRI terms and conditions . Successful candidates who meet UKRI’s
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or engineering related discipline. To apply please contact the supervisor, Dr. Jane Wood - jane.wood-2@manchester.ac.uk . Please include details of your current level of study, academic background and
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in 2017 bringing together long-established engineering research and teaching groups in chemical, civil, electrical & electronic, geomatics, marine and mechanical. In REF 2021, 46% of the research
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there are concerns about the new impacts that this will introduce. Battery electric vehicles (BEVs) typically require six times as many minerals as their internal combustion engine (ICE) counterparts, and thus a
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-based symbolic machine learning. The aim is to give the industrial widely used NewWave theory (a theory that predicts the linear shape of extreme waves) a modern twist to account for the important