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publication is helpful to strengthen an application, particularly for overseas candidates seeking studentship funding at the University of Manchester. To apply please contact the supervisors; Dr Bernardo Magri
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Project Title: Intrinsically-aligned machine learning In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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depletion, toxic algae, and pollutants. This natural sensitivity makes them powerful bio-sensors for environmental monitoring, capable of providing early warnings of ecosystem stress. However, harnessing this
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Research theme: Laser materials processing; Advanced manufacturing; Mechanical Engineering This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers
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algorithms for data processing, assisted or automated flaw detection, 3D EM solvers, and synthetic aperture radar (SAR) focusing will be used to refine spatial resolution. Applicants should have, or expect
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Deadline: All year round For UK students only This 3.5-year project is open to home students. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26). Tuition fees will also be paid. We expect the stipend to increase each year. We recommend...
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between the simulator and sensors located in the operating room. This will require implementing data acquisition algorithms and data processing algorithms within the simulator. The second point concerns
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Application deadline: All year round Research theme: Numerical Analysis This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for...
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Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation