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application! We are looking for a PhD student in Scientific Visualization in the scientific visualization group at the division of media and information technologies based at the Department of Science and
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Computer Science, Data Science, Machine Learning, or an Engineering/Science discipline with a data science/analytics component. To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk
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://kdvi.uva.nl/research/discrete-mathematics-and-quantum-information/discrete-mathematics-and-quantum-information.html#Academic-Staff Silke Henkes -- https://www.universiteitleiden.nl/en/science/physics/biological
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. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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@dtu.dk . You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU
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capacity to work independently as well as in teams. For further information about a specific subject see General syllabus for the Board of the faculty of science and technology Further information Employment
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about to obtain, a First or Upper Second-Class UK Honours degree, or the equivalent qualifications gained outside the UK, in Statistics, Mathematics, Data Science or Computer Science. To apply, please
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
generate vast amounts of operational and maintenance data, much of it remains fragmented and underutilized. Unlocking insights from this unstructured data could enable earlier fault detection, improved