212 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" positions at University of Birmingham
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Postdoctoral Research Associate to join the Research Group of Dr Adam Michalchuk, funded by the US Air Force Office of Scientific Research. The position will be to develop and use computational models to explore
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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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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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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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activities within an established research programme and/or specific research project. Role Summary • Work within specified research grants and projects and contribute to writing bids • Operate within area of
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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
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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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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