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The School of Ocean and Earth Science at the University of Southampton is seeking to appoint a Research Fellow in Igneous Petrology & Quantitative Textural Analysis to contribute to ongoing research
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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democracy versus direct democracy. Instead, we require an approach that is psychologically more realistic and more closely approximates the reality of the complex democratic systems we inhabit, which do not
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science for complex heritable conditions, primarily focused on inflammatory bowel disease. The successful candidate will undertake research with the ultimate aim of improving personalised diagnostics
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and analysis pipelines using MNE-Python, and contributing to the analysis of pilot EEG data. The post-holder will also support the development of behavioural coding approaches for social interaction and
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professional experience and/or a postgraduate qualification, such as a Master’s degree or PhD, in Computer Science, Information Systems, Engineering, Mathematics, Business, Economics, Finance or another relevant
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quantitative analysis to determine their pharmacological and sensory properties. A major strength of the project is its integration of molecular pharmacology with evolutionary and organismal biology. You will
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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stakeholders from government, industry and/or civil society Excellent written and oral communication skills, with the ability to present complex concepts clearly to diverse audiences Willingness and ability
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analysis Analysis and presentation of electrochemical data Design and optimisation CO2 electrolyser from lab scale to 100 cm2 Investigate materials (electrode substrate, membrane and catalysts) Synthesis and