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music analysis (with a PhD in musicology, music analysis or music theory) and/or in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with
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qualifications and motivation. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in mathematical sciences (https://www.ntnu.no/studier/phma ) within three months
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(written and spoken). Sound informatics background at advanced user level of the Office package (Word, Excel, Power Point, etc.) and data analysis software Strong teamwork skills, ability to adapt
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of results at conferences interaction with team members and international collaborators Required skills : Degree : PhD in computer science, machine learning, or computational biology We expect a candidate with
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topic relevant to the journal. We are particularly interested in applicants with experience in either artificial intelligence research or theoretical computer science, but we would welcome applications
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-preserving data analysis. We are looking for a PhD student to join our team and contribute to cutting-edge research in theoretical computer science, with a focus on Secure Multi-Party Computation. You will
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Artificial intelligence (AI) is
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in
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Digital Citizens, and Robotics and AI which align with the EPSRC Discovery priority of ‘Digital Futures’, and the Mission-Inspired priorities of ‘engineering net zero’, and ‘artificial intelligence
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the information webinar, please visit: https://www.rca.ac.uk/study/apply-to-study/funding-your-studies/funding-for-mphil-and-phd-students/doctoral-landscape-sch-net-zero-futures/ Fair Access and Widening