15 application-forms-"https:"-"https:"-"FCiências" PhD positions at University of Birmingham
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focus on resonant acoustic mixing (RAM) - a relatively novel and increasingly important class of process equipment attracting growing industrial interest across multiple sectors. At its core, the project
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The Centre for National Training and Research Excellence in Understanding Behaviour (Centre-UB) is inviting applications for a Doctoral Studentship in association with our collaborative partner
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join the world-leading Advanced Nano Materials, Structures and Applications (ANMSA) Group, a hub for innovation in the development of novel micro- and nanostructures and miniaturized diagnostic
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Engineering, Physics or a related subject area (first class degree or equivalent). We invite applications from highly motivated individuals, able to master complex subjects and eager to undertake research in a
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programme of study , and complete the scholarship application form available below, indicating which opportunities you wish to be considered for. Application deadline: 27 February 2026 Ask a Question If you
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of Birmingham is a top-100 world-leading university, and we are committed to promoting Equality, Diversity and Inclusion and offering a supportive environment for people to thrive. Applicants should have a 2:1 or
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variety of issues - including bandwidth, size and weight - which preclude their use across many technologically significant applications, such as small/compact, lightweight structures, and complex-shaped
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, sustainable UV-filters with broad-spectrum protection. This is a collaborative studentship combining fundamental blue-sky research with real-world application [1], offering a unique opportunity to work at the
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This PhD project aims to computationally design improved transparent oxide scintillators for X-ray detection applications. New materials are needed for X-ray detectors because existing detector
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collaborative manipulation or assembly tasks. You should apply if: You have, or are expecting to receive, a first or upper second-class degree in robotics, computer science, artificial intelligence, mechatronics