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The University of Surrey is offering a fully funded PhD studentship on the topic of Audio/acoustics machine learning for intelligent sound reproduction, with industrial partner Bang & Olufsen
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, organisation and delivery of teaching at the Defence Studies Department. Successful applicants will teach and supervise students who are serving officers or civil servants in the UK and allied armed forces
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the Departments of Computer Science and Biology and the successful post-holder will be working on the NERC funded Morphocam project. This project seeks to develop and release machine learning/AI tools to enable
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education courses at the postgraduate level. They will support the planning, organisation and delivery of teaching at the Defence Studies Department. Successful applicants will teach and supervise students
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of deep learning, drug design and engineering biology. Your skills and attributes for success: Strong track record in machine learning or statistical learning applied to biology, preferably in protein
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in Shrivenham, will undertake high-quality research and support a range of professional military education courses at the postgraduate level. Successful applicants will teach and supervise students
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and other conditions. We are seeking a data and machine learning engineer motivated by the chance to address exciting technical challenges while working on Minder , a project with the potential
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Computer Science and Artificial Intelligence (AI) with significant competence in applications of machine learning and skills in computer science. Applicants should have a track record of publications and academic
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Computer Science or near completion. Higher language computer programming (python) General machine learning experience (vision, structured data, NLP) Machine learning libraries (SciKit Learn, pytorch,…) Scientific
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-machine manufacturing has experienced significant growth over the past five years, with projections indicating continued expansion. Improved efficiency can be achieved by design and materials optimization