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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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Phenomena , Cold Atom Physics , Cold Atoms and Molecules , Cold QCD Group , collider physics , Collinear Fast Beam Laser Spectroscopy , Complex Quantum Systems , Computational Materials Sciences
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teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject
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within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. As an employee at NTNU, it is important that you
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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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School/Faculty: Computer Science Eligibility: UK/International Funding: School of Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780
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the development of research and innovation funding applications. For more information about the Urban Sciences Building, please click here For more information about the School of Computing and our research, please
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-time Entry requirements The standard minimum entry requirement is 2:1 (Hons) in physics, chemistry, natural sciences, mathematics, computing, environmental sciences, or similar numerical subject. Start