37 postdoc-in-thermal-network-of-the-physical-building Fellowship positions at University of Birmingham
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, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data and processes guided by principles
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session at the University’s Exchange building, in Centenary Square, Birmingham, between 10am and 5pm on Friday 6th June 2025. If you’re interested in working at the University of Birmingham and perhaps have
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Street Hospital and University College London. Role Summary Analyse and interpret research findings and support their publication Contribute to generating external funding Develop and make contributions
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patients stopping csDMARDs for validation in downstream prospective studies; and To delineate specific pathobiological pathways whose induction in tissue heralds RA flare, building on recent insights
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culture. Person Specification Essential criteria A first degree in Materials Science, Chemistry, Physics or related subject, and a PhD (or close to completion) in Materials Science, Chemistry or a related
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September 2025 Background We are looking for a research fellow with expertise in advanced manufacturing (powder bed fusion/electron beam melting/sintering), physical metallurgy or advanced characterisation
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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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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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised