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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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team, customer service skills across any industry could well be an advantage. The department uses multiple computer systems to deliver its services therefore experience using multiple systems is
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address this, you will adopt a novel "top-down" strategy, directly opposed to the current materials discovery methods, to accelerate materials development for creep-fatigue environments. Specifically, you
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, biochemistry, sample processing and have a proactive approach to learning methods like Raman spectroscopey. You are highly organised and driven, you will demonstrate initiative and problem-solving skills. You
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Experience of using qualitative and quantitative research methods Proven ability to organise a range of high quality research activities to deadline and quality standards Experience of managing and undertaking
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major role in inspiring the next generation of students in a world-class University? Due to the success of the Artificial Intelligence & Computer Engineering (AICE), we have built a brand-new student
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. Application procedure This post is suitable for psychologists or data managers with a strong background in quantitative research methods and statistics and is available now. For additional information/informal
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consistent approach to all of our products build a comprehensive knowledge base of user research and user-centred, evidence-based research methods and practice lead on user research activities, making
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, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For further information please contact
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methods (statistics, ML, AI) with applications to energy and built environment problems and programming languages e.g. Python, R, Matlab, C# etc applied at highlighted scales. About you We welcome