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postdoctoral Research Fellow (RF) position for one year with a possible extension for one more year. The starting date is November or December 2025. This post will advance the application of Machine Learning (ML
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-enhanced learning. This 2.5-year postdoctoral position is funded by the Principal Investigator’s recently awarded EPSRC Quantum Technologies Career Acceleration Fellowship. Role Summary Work within
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in basic tissue culture and molecular biology techniques, as well as flow cytometry, and ideally be experienced with in vivo models. Previous experience of metabolic assays would be advantageous
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conferences. All applicants should be ideally be proficient with in vivo immunology, flow cytometry, basic tissue culture and molecular biology techniques. Prior experience with microscopy (particularly
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with 10x Xenium spatial transcriptomic data Experience of working in industry Experience of cell phenotyping, cytometry and cell sorting techniques including FACS, MACS and flow cytometry Understanding
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period of growth: major investment from the University will deliver a state-of-the-art research building (opening in 2023/24), and new multi-million pound high-performance computing facilities, which will
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testbeds to explore new and emerging areas of interest, Birmingham is a dynamic place to work. We have ambitious plans to expand our research activity and are in an exciting period of growth: major
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sectors. The post is available for a period of 2.5 years. The starting date is 1st September 2025 (with some flexibility). The successful applicant will have access to generous travel funding to support
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2024, Nature) and will integrate modelling methane exchange in upland trees with the LPJ-GUESS dynamic global vegetation model to identify past, current and future changes in this new-found methane sink