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This project could be right for you if you enjoy solid mechanics and structures, have an inclination toward computational and analytical mechanics, and are also interested in carrying out physical experiments
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
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awarded a first class or 2.1 honours degree (or equivalent if from other EU countries) in materials science, chemistry, physics, chemical engineering, mechanical engineering, manufacturing, or a relevant
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facilities at the University of Sheffield, using cutting-edge techniques for water quality analysis including online physical/chemical parameter monitors and advanced microbiological analysis, and will become
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Engineering, Physical Science, Mathematics, Computer Sciences, Physical Geography or a related subject. • Good level of written and oral communication skills, as appropriate for disseminating research and
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that are submitted without following the correct application process, or those exceeding the page limits for CV’s and motivation letters will not be considered. The successful applicant will subsequently be required
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information and other funding options: View Website Eligibility Students are expected to hold a 2.1 Hons degree or above, or equivalent, in Electronics and Electrical Engineering, Computer Science, Physics
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for the best opportunity to be considered. How To Apply Apply online via the Apply button. Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Choose an
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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
(subject to a maximum quota of overseas students per training grant). The selection criteria for the position are; • A good honours degree (or equivalent experience) in Engineering, Physical/Environmental
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criteria for the position are: • A good honours degree (or equivalent experience) in Engineering, Physical Science, Mathematics, Computer Science or a related subject. • Enthusiasm for research, and in