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Working with biophysical assay data (e.g. SPR, TR-FRET, AlphaLISA, ITC, NanoBRET) to guide compound design and prioritisation Use of analytical chemistry techniques relevant to probe characterisation (HPLC
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explainable AI strategies to improve prediction, interpretability, and breeding decision-making. Join TEAM-AI to translate cutting-edge analytics into practical solutions for global food security. TEAM-AI aims
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should possess a degree in a relevant scientific discipline (or equivalent experience), experience and expertise in catalysis broadly, and analytical chemistry methods, with particular emphasis in
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analysis. Secure and maintain research ethics approval and manage data in line with University policy, funder requirements and applicable data protection law. Maintain transparent and reproducible research
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The job details are shown below. For further information click on the link for the job description. About the role As a Post-Doctoral Research Fellow – Peatland Fire, Palaeoecology and Ecological
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administrative activities, adapt existing and develop new scientific techniques and experimental protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new
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methods. The ability to carry out analytical procedures that are applied for proteome characterisation to a high degree of precision including sample preparation, LCMS and data analysis is also essential
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appropriate analytical techniques to quantify ion permeability. You will collaborate with colleagues, share knowledge and data and communicate your findings through reports, publications, seminars and
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and molecular data from prospective cohort studies. The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and