15 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions at UNIVERSITY OF SURREY
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs
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classes, supervising student projects, and supporting a range of academic duties such as assessment, marking, and pastoral care. About You You will hold a PhD in pharmaceutical/formulation sciences or a
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to collaborate with colleagues and stakeholders will be essential. We particularly welcome candidates with experience in the design and execution of listening experiments. A PhD in a relevant area is desirable but
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data management and archiving, project administration and manuscript preparation. A proven track record in these areas is essential. About you Candidates should hold a PhD in a related discipline and
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the University's Strategy. The post-holder will be expected to contribute to all areas of provision from our PhD programme, MA in Higher Education PGCert in Learning and Teaching in Higher Education and a range of
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. Ability to collaborate with colleagues and stakeholders will be essential. We particularly welcome candidates with experience in psychoacoustic listening tests and machine/deep learning. A PhD in a relevant
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. The post holder will also be expected to offer technical support and guidance to PhD researchers working in ICS. ICS is the largest academic research institute in Europe specialising in all aspects of ICT
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services to promote responsible research practices. About you The ideal candidate for this role will be qualified to a Master’s or PhD level in Physical Sciences or Engineering, or will have equivalent
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advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research experience in epidemiology and statistics