71 parallel-computing-numerical-methods-"Simons-Foundation" positions at Nottingham Trent University
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transformational courses. We are one of the largest law schools in the UK, offering a range of undergraduate degrees, academic and practitioner taught postgraduate courses and a strong research degrees programme. In
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or subheadings, the research proposal needs to contain the following information: provisional title, the topic or area to be investigated, the problem or hypothesis to be tested, the methods and techniques to be
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we believe that the project is best addressed through transdisciplinary methods. The successful applicant will be supervised by Dr. Marco Bohr, Associate Professor in Design and Digital Arts in
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the Edge AI foundation and various industrial partners. We are seeking candidates with a doctoral degree and substantial experience in Persuasive and Edge Computing or related areas. Essential expertise
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information: provisional title, the topic or area to be investigated, the problem or hypothesis to be tested, the methods and techniques to be used in the research, a provisional timetable for the project
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expanding research community where collaboration, experimentation and interdisciplinarity are embraced and actively encouraged. The successful applicant will be part of the Creative Practices, Methods and
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Practices, Methods and Analysis CPMA research cluster. More PhD opportunities are listed on the CPMA website: https://www.ntu.ac.uk/research/groups-and-centres/groups/creative-practices,-methods-and-analysis
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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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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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women's entrepreneurship in tech, the potential PhD student will employ a mixed-methods approach, including 1. Gathering qualitative and quantitative data from women tech entrepreneurs to understand