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Field
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backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
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computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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year. Working at the intersection of water engineering, environmental microbiology, robotics, and lifecycle analysis, you will evaluate autonomous underwater skimming robots that minimise energy use in
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Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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Eligibility criteria You must have, at least a 2:1 honours degree or international equivalent, in a subject relating to neuroscience or neural engineering. Further qualifications such as an MRes is advantageous
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, which is not possible with current systems. It aligns with key STEM themes and EPSRC’s strategic focus on ‘Engineering’, ‘Health and Medical Technologies’, and ‘AI, Digital, and Smart Applications
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, biology or engineering related discipline. To apply, please contact the main supervisor: Prof Jian Lu - J.Lu@manchester.ac.uk . Please include details of your current level of study, academic background and
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2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. This project is open to UK students or EU students with settled status.