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design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
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complex information clearly and concisely, and to produce high-quality written scientific materials. The ideal candidate will also possess robust critical thinking and analytical problem-solving skills
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CGIAR, including CIMMYT and National Agricultural Research Systems (NARES). In this role, you will develop an analytical decision-support tool that integrates quantitative genetic modelling, artificial
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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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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
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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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-genome sequencing. You will possess strong analytical, problem-solving, and data interpretation skills, with the ability to work both independently and collaboratively within a multidisciplinary research
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analytics, and generative AI approaches for pandemic preparedness and response. You will collaborate with international partners across Europe and beyond, analyse complex health and surveillance data
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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