17 finite-element-analysis Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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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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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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artificial intelligence (GenAI) must not be used to generate any component of your application. In turn, your application will not be reviewed using GenAI. Appropriate GenAI use is welcome in the prosecution
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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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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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of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M) flagship
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role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and presenting the findings. As such, there is scope for the post-holder to bring
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the first instance. Subject to NIHR review and funding, there may be opportunities for elements of the research programme to continue beyond this date. For an informal discussion about the role, please
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of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments