206 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Birmingham
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flow simulators (flumes) such as the Birmingham EcoLab (https://www.birmingham.ac.uk/research/centres-institutes/ecolaboratory ) will be highly desired. Role Summary Work within specified research grants
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Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically
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Job Description Position Details School of Computer Science, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is
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will sit within the Department of Applied Health Sciences and will support the delivery of the NIHR Research Professorship awarded to Professor Joht Singh Chandan (NIHR306365, https
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the Department of Applied Health Sciences and will support the delivery of the NIHR Research Professorship awarded to Professor Joht Singh Chandan (NIHR306365, https://fundingawards.nihr.ac.uk/award/NIHR306365
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and further information: - https://intranet.birmingham.ac.uk/as/registry/exams/supporting-invigilator.aspx We will be in contact with all successful applicants Sunday 15th February 2026 Informal
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. The portfolio of research supported is wide ranging (https://www.birmingham.ac.uk/research/medical-dental ), including a large portfolio of large-scale research programmes and infrastructure awards funded by
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SMEs to large global manufacturers. For more information, please visit the MTC website: https://www.birmingham.ac.uk/research/centres-institutes/research-in-mechanical-engineering/sustainable
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loosening, infection) derive from a top-down, one-size-fits-all approach to implants; CUSTOM plans to invert this approach, based on combining computational, patient-specific design and additive manufacturing
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loosening, infection) derive from a top-down, one-size-fits-all approach to implants; CUSTOM plans to invert this approach, based on combining computational, patient-specific design and additive manufacturing