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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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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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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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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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established techniques to apply reproducible mechanical force to live tissues and determine cellular response. The experimental work will involve live confocal imaging (including FLIM), image analysis and
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an innovative, motivated and capable individual, who can apply their research skills to support the delivery of this project. Skills in qualitative research methods and analysis are essential, as are the personal
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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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specifically in Business Analytics & Decision Sciences, and candidates must be able to teach in one or more of the following: core analytics (machine learning, statistics, optimisation, decision analysis
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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
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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