43 high-performance-computing-postdoc Fellowship positions at University of Birmingham
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PTLD patient and control patient blood and are performing single cell spatial transcriptomics to analyse the immune microenvironment of PTLD tumours. The appointed candidate will create and contribute
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to contribute to developing new ones Fluency and experience with high performance and/or high throughput computing Expertise in the theory and usage of high-level Bayesian and/or frequentist statistical data
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potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to June 2028 Closing date: 17th September 2026 Background This role is part of the philanthropically funded programme
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and troubleshoot a complex programme of laboratory work. Co-ordinate own work with others to avoid conflict or duplication of effort High standards of record keeping, research integrity, ethical
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Save the World? research programme, hosted by the Catholic University of America, which explores the role of beauty in human flourishing. While contributing to the broader aims of this international
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Sustainability, computer science or a closely related field with relevant working experience High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
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: 30th September 2026 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
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-FEG) for enhanced imaging performance. This advanced facility, together with state-of-the-art NMR, MS and Light Microscopy facilities available at the University, provides new opportunities
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their role in particle growth. This role involves new laboratory- and computational chemistry based research into atmospheric processes. The successful candidate will work with Professor Zongbo Shi and other
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Duties The responsibilities may include some but not all of the responsibilities outlined below. Perform experiments using flow cytometry of blood samples from patients to characterise NK cell receptors