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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply
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rate). An additional allowance will be provided to contribute towards consumables, equipment, and travel related to the project. Number Of Awards ReNU+ is a unique and ambitious programme that will
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your suitability with evidence of the following: Have backgrounds in computer science (or engineering), system engineering, or physics/mathematics. Knowledgeable in machine learning techniques (had
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well they meet the following criteria: A first class (or high upper second) honours degree in Engineering, Physics or equivalent Excellent English written and spoken communication skills An interest in
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the sub-sized specimen testing program. You’ll also have the opportunity to present your work at international conferences/workshops. Finally, as a part of your graduate experience, you’ll have the
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to how well they meet the following criteria: A first class or strong upper second-class undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and
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, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate
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study: search for the ‘Course Title’ using the programme code: 8020F select ‘PhD Biology (full-time)' as the programme of study You will then need to provide the following information in ‘Further Details
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spoken communication skills The following skills are desirable but not essential: Demonstration of undertaking research projects Ability to program Previous experimental experience in fluid dynamics
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open, reproducible science. This exciting and challenging project will be jointly supervised by Prof Rossiter (Soft Robotics) and Prof Kent (Psychology) but will offer many networking opportunities and