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activities. Candidates are expected to have a solid Computer Science background and must hold a completed PhD degree in Computer Science or a related field. Ideally, applicants already have experience in
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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programme. This is a full-time position for 36 months in the first instance. Applicants should be able to demonstrate a strong computer science and cyber security background, and excellence in teaching at
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and Pharmaceutical Science to over 600 undergraduate students, and a post-graduate programme in Biomedicine. We have a significant population of MSc and PhD research students. You will have a strong
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postgraduate programmes. This is a full-time position for a one year fixed period, with potential for extension. You should be able to demonstrate a strong computer science background and excellence in lab-based
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the opportunity to help deliver a truly world-class education experience in computer science and cyber-security. You should be able to demonstrate a strong computer science background and excellence in lab-based
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Technology Enhanced Learning (TEL) to become part of our internationally leading TEL doctoral programme team for 12 months. The TEL doctoral programme is delivered by colleagues in the discipline of
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positions on offer, this is a great opportunity to work with two world class Universities. We are seeking Lecturers in the discplines of our priority teaching areas of Business, Business Analytics, Computer Science
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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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Lancaster University, School of Mathematical Sciences Position ID: 3673-SRA [#27780] Position Title: Position Type: Postdoctoral Position Location: Lancaster, Lancaster LA1 4YF, United