32 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions at University of Birmingham
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innovative modelling methodologies, generate high quality computational and analytical insights, and translate these findings into improved process understanding and industrially relevant solutions. The role
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Job Description Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting
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Clinical Research Fellow (BRC Arthritis) - Department of Inflammation and Ageing - 100873 - Clinical
. The Arthritis and Sarcopaenia and multimorbidity and Infection and Acute Care themes are led by researchers in the institute. The BRC supports a 5 year programme to better understand a range of debilitating
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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on enhancing the depolymerisation process, as well as advancing our resin design to enable more facile circularisation. The project will be hosted in the group of Prof. Andrew Dove in the School of Chemistry and
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, or Service Design Expertise in advanced quantitative data-analytic techniques, e.g., SEM Experience working in the manufacturing sector Experience working in Human Resources/Process Development/Training
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Injury (mTBI): persistent post-traumatic headache, cognitive dysfunction, depression, PTSD, dizziness and delayed return to work. This will be achieved through a harmonised programme of detailed clinical
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Consortium). The post is based in the School of Health Sciences within the Applied Health Sciences Department, and the post holder will assist with delivering the programme of work associated with the PHRESH
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Closing date: 15th January 2026 Background We are seeking applications for a part time research fellow (70%fte) to work on an NIHR Public Health Research Programme funded project for 12 months. The project
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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills