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Use of surface textures to improve tactile perception Department of Mechanical Engineering PhD Research Project Self Funded Prof M Carre Application Deadline: Applications accepted all year round
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the utilisation of the large data volumes captured of torso surfaces to better translate knowledge to support garments. The studentship will appeal to students with a sports engineering/technology or other relevant
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, sports engineering/technology or biological engineering background. It is intended that a variety of qualitative and quantitative data collection techniques will need to be used. There is also scope to use
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Post Title: Research Fellow in structural health monitoring of composites using optical fibre SBU/Department: School of Physics, Engineering and Computer Science FTE: 1.0FTE (Working 37 hours per
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Lawrence Berkeley National Lab’s (LBNL ) Accelerator Technology and Applied Physics Division has an opening for a Postdoctoral Scholar to join the team. In this role, you will work at the
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. Department: Biomedical Engineering. Contact details:Dr Martin Bishop. [email protected] Location: St Thomas’ Campus. Category: Research. About us The successful applicant will be located with the newly
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
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Supervisor(s) Dr Anna Rita Bennato, Loughborough University Dr Morakinyo Adetutu, Loughborough University Enquiries email: [email protected] Closes: 16 May 2024 Subject areas Economics; Physical & environmental science. Project description This study aims to investigate the pivotal role of wind...
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-of-the-art Bournemouth Gateway Building, we offer an outstanding range of facilities coupled with access to the most up to date technology and equipment. The vision of the Department of Rehabilitation and
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Artificial intelligence (AI) applications are transformative, but they are becoming increasingly unsustainable. Many AI models require extensive training with large model sizes. As an alternative reservoir computing exploits random fixed networks to transform data to simplify training. By...