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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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sector. We are seeking a motivated student with interests in developmental biology and disease modelling. This interdisciplinary project combines both wet bench work and computational work (image analysis
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test a variable stiffness catheter. Conduct in-vivo animal trials of the prototype. Do market discovery of the technology by actively participating in the Commercialization Journey programme offered by
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Overview The Sheffield Centre for Health and Related Research (SCHARR) are recruiting a researcher with a strong background in causal inference and interest in health technology assessment (HTA
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University of Sheffield, School of Mathematical and Physical Sciences Position ID: MPS -TT_IRF [#26555] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Sheffield
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expectation to contribute to scientific publications and demonstrations. Support will be provided by senior colleagues in the Digital Manufacturing Laboratory. You will have completed a First degree in Computer Science