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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career
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instruments, large-scale datasets, and an international research community. Training on neutron scattering techniques will be provided. The project is ideal for students who are interested in computational
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) in a relevant science or engineering related discipline. Please submit informal enquiries to igor.larrosa@manchester.ac.uk . We strongly recommend that you contact the supervisor for this project
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challenges in multidisciplinary research areas have a background in computational/theoretical chemistry, computational condensed-matter physics, or a closely related field. How to apply Apply
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A fully funded PhD studentship is available for outstanding candidates to undertake cutting-edge research leading to a PhD in Chemical and Biomedical Engineering. The successful candidate(s) will
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, computer science, cognitive psychology, engineering, or another relevant field Strong academic record and motivation for doctoral research Documented competence in English (written and spoken) Eligibility
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programme, you must have completed a relevant bachelor's degree (180 ECTS) + master (120 ECTS) , or equivalent education in the fields of human centered technology, art, design, social sciences
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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and