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. This would be expected to include independently performing experiments utilizing transgenic animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but
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data analysis. Proficiency in advanced AI techniques will be essential, including foundation models, multimodal deep learning, generative AI methods, transformer architectures, and causal inference
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what lessons these hold for the wider region and the UK. The role will primarily include qualitative data gathering and analysis methods, including semi-structured interviews, workshops, focus groups and
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This is an outstanding opportunity for a Research Associate, with a background in deep learning and medical image analysis, to work within the reirradiation research team under the supervision of Dr
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elements of study development and conduct from co-production work to study design, approval, operationalisation and dissemination REVAL is a rapid service evaluation team that conducts real time evaluations
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determination, relaxation methods including PREs and the application of 19F NMR to metal fluoride ground state and transition state analogues is essential. This project is based in the Manchester Institute
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surface glycocalyx in immune cell recruitment to the inflamed brain. The appointee will be responsible for: Routine sample preparation for mass-spectrometry based analysis of glycans and development of new
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. Familiarity with molecular biological analysis (e.g. qPCR), computational modelling, and CT imaging is highly desirable. You should be capable of working under your own initiative and assisting in leading a
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support, delivering high-quality advice, guidance, and training to a diverse user base, from students to external collaborators. Beyond hands-on experimental support and computational analysis, you will be
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experience in computational analysis of proteomic data. The project will use the yeast Saccharomyces cerevisiae as an experimental model relevant to all eukaryotic systems. Applicants should have a PhD (or