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Field
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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independent member of academic staff who will not be a supervisor (but could be a Research Development Advisor). Industry partner representatives can be interview panel members.
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promising avenues for developing high performance devices, making them strong candidates for large-area electronics. A significant barrier remains, however: the lack of ceramic-based PMOS with transport
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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of physical conditions (pressure, pulse time, temperature) will be investigated, allowing for the design of efficient shockwaves. Essential multi-physics software tools will be developed. The project is a
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Deadline: All year round How to apply: uom.link/pgr-apply-2425 How many positions: 1 Open to: UK students This 3.5-year PhD project is fully funded by The University of Manchester and the funding is
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Rolls-Royce the project will focus on the development and testing of novel ultrasonic methods to measure intake massflow for aero-engines. This technology has the potential to improve the methods
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the University of Sheffield, and embark on this transformative PhD project! What You’ll Gain: Full PhD funding including tuition fees and a generous stipend Hands-on experience with world-class researchers and
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures at the micrometre scale that can propel themselves through fluids, mimicking natural swimming