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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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improvement and implementation sciences, evaluation, patient and public involvement (PPI), and economics, and a core team of managers and communication professionals. The KIS programme is supported by KHP
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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for candidates to have the following skills and experience: Essential criteria PhD at or near completion in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering
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institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach undergraduate courses in Electrical & Computer Engineering (ECE) program. The expected workload for the in
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focus on solid dosage forms and 3D printed drug products. The research will integrate advanced imaging, computational modelling, and pharmaceutical sciences to improve the resolution, reproducibility, and
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the Judge Business School but the successful candidate would work in collaboration with the Department of Computer Science and Technology. A degree in Computer Science with postgraduate experience in Natural
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analysis needed for each of your projects. You will work collaboratively with project and programme managers to shape project or programme plans. You will sometimes manage projects yourself or co-ordinate
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Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in MCS and undergraduate courses in the Computer Science (CSE) bachelor program. The expected workload for the in