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Field
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by people with diabetes, who often experience poorer clinical outcomes due to unstable blood sugar levels (adverse glycaemia). This project harnesses cutting-edge electronic patient record data
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science, mass spectrometry and/or immunoassay), a PhD in a relevant scientific subject with considerable analytical chemistry content Demonstrable expertise at post-doctoral level of working in
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of assays, a wide range of analytical approaches (such as separation science, mass spectrometry and/or immunoassay), a PhD in a relevant scientific subject with considerable analytical chemistry content
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subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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of random fields, the project seeks to illuminate complex analytic phenomena that remain out of reach under traditional deterministic frameworks. Reporting Structure The PDRA will be based in the Department
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filters and observers, for real-time applications. Proficiency in MATLAB and Simulink for modelling, simulation, and validation using experimental or real-world data. Strong analytical, independent research
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information to an attacker. Funding These are doctoral teaching assistant positions that combine a PhD programme with a university teaching contract. Your time will be split approximately 60% on research and 40
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, pharmacology, genomics and multi-omics, as well as growing methods in advanced analytics of health data e.g. machine learning to improve human health with a focus on therapeutics. These posts will work alongside
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protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research
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analytical procedures that are applied for proteome characterisation to a high degree of precision; able to analyse quantitative proteomic data with a degree of statistical rigour using common freely available