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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
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of other CRM systems · Business analysis / business process / requirements gathering · Working in an ITIL environment What can you expect in return Our diverse job opportunities all include a top benefits
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involved in study design, recruitment, data collection and analysis. The role will include obtaining necessary ethical and governance approvals at project outset. Other responsibilities will include
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, budgeting, forecasting and reporting processes for your area of responsibility. This will include analysis of performance and highlighting remedial action where required. You will develop and continuously
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using mass spectrometry for global proteome/metabolome analysis and state-of-the-art Oxford Nanopore (ONT) sequencing. Any residual material will be used for pre-clinical development and multi-omics