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available for a duration of four years, subject to satisfactory progress. A period of study in Munich, Germany is anticipated. Candidate Requirements Applicants should have: A First-class or Upper Second
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methods and examine challenges concerning both private and public sectors. It is our objective to become a world class leader in excellent research and high-quality teaching. We further strive to provide
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Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Remuneration: The successful applicant will receive a Research Living Allowance, at current value
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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the industry partner and a separate academic mobility visit. Contribute to research integrity, equality, responsible AI, open science and FAIR data practices. Supervision, training and mobility Project contact
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last year, are at a similar stage of their research journey. The current group has a mixed BSc/MSc background, ranging from computer science to physics, electrical engineering and mathematics. Here
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at the Department of Management and Organisation. Undertake collaboration with the industry partner and a separate academic mobility visit. Contribute to research integrity, equality, responsible AI, open science and
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magnetic field inhomogeneities, resulting in geometric distortion and signal loss in the images. The aim of the project is to investigate the potential of using Implicit Neural Representation (INR), a class
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for a highly enthusiastic and motivated student with - a strong 1st class degree in Mathematics at the MMath/MSci/MSc level, or equivalent; - a solid background in numerical analysis of differential