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Field
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD
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) School of Mathematical and Computer Sciences FTE and working pattern: 1FTE, Full time - 35 hrs per week Location: Dubai Campus The School of Mathematical and Computer Sciences has been teaching both
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from clinicians, academics and aspiring academics who are passionate about inspiring the next generation of physiotherapists and making a real difference to student learning. Why join the School
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team. This is an exciting time to join the School of Engineering, Computing and Mathematics (SECAM), as our teaching and practical learning have recently moved into the cutting‑edge £63 million Babbage
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independently and as part of a team. Excellent organisational and time management skills are also important as you will be working on multiple projects. Learn more about our Faculty and its Departments here: http
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an informal discussion, please contact the Faculty Operations & Projects Manager Jess McCallum (e-mail: jm2995@bath.ac.uk ) Learn more about our Faculty and its Departments here: https://www.bath.ac.uk
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of the resultant analysis. This will also involve the collection of a curated data set, and the use of Machine learning tools to further enhance the analytical process. Together, this will help expand the use
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expertise across autonomy, machine learning-based control, multi-agent systems and Decision-making. Excellent communication skills (both written and oral) with ability to communicate complex and conceptual
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partners across the aerospace industry. BladeUp aims to transform wind turbine blade design and manufacturing using advanced modelling, machine learning and high-performance simulation, while Gradient Shells