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programme and the application process, funding, our world-leading research, living in Lancaster, and job opportunities after graduation. To attend, please register at LUMS PhD Studentship & Funding
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In many engineering simulations, the accuracy and efficiency of the solution depend critically on how the mesh is distributed relative to the underlying physics. Features such as boundary layers
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Experimental low-temperature physics involving nanofabrication, high pressure measurements, extreme magnetic field and milliKelvin temperatures to tune exotic low dimensional materials. Hands
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networking, computing and sensing. Quantum technologies exploit the unique properties of quantum physics to deliver functionality that cannot be achieved using classical physics alone. A key challenge is the
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resources in North and East England, using a combination of physically-based hydrological modelling tools and water system models. The framework will be used to produce more transparent and physically
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theoretical work. As part of the program, you will complete a six-month placement at the Jungbunzlauer site in Germany, where you will: Collaborate with experienced industrial scientists and process engineers
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Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University). Selection process
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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systems. These Cyber-Physical Systems (CPS) combine physical processes with digital computation, and are therefore exposed to threats in both domains. While security measures such as encryption and
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or