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diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
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Life cycle assessment of renewable chemical production with artificial intelligence School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr
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, reactor design and computer programming. Entry requirements: Upper second class degree in Chemical Engineering, Materials Science and Engineering or Chemistry. Funding Notes Department contribution (fee
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reference the application criteria in the application statement when you apply. Essential criteria Postgraduate qualification in a relevant subject such as a PhD or MSc in Psychology, Data Science, Computer Science
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and other highly technical problems. Collaborate with colleagues from multiple teams to plan workload and resources to fit project timescales. Research into novel technology to advance knowledge
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the Policy Modelling for Health project of the Population Health Improvement UK Network (PHI-UK) Supervisors: Aki Tsuchiya: https://www.sheffield.ac.uk/economics/staff/academic/aki-tsuchiya Robin Purshouse
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planning, student intake forecasting, tuition fee setting and new programme financial viability assessments. This involves collaborating with other professional services teams, analysing complex information
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Overview An exciting opportunity for a Research Associate exists within the Multiscale Materials Informatics and Innovation (M2i2) research group, led by Professor Hector Basoalto, at the University
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novel technology and its application into industry by researching into problem areas to advance basic knowledge and evaluate new techniques to solve those problems. Project management including managing
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance