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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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development. The Faraday Institution vision is to bring together scientists and industry partners on research projects to reduce battery cost, weight, and volume; to improve performance and reliability
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, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply
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academics providing specialist support for external engagement and development. Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career. A
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relevant to research area or equivalent qualifications High level analytical capability to perform and analyse multicolour flow cytometry Ability to communicate complex information clearly Fluency in
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skills development. The Faraday Institution vision is to bring together scientists and industry partners on research projects to reduce battery cost, weight, and volume; to improve performance and
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between different neuronal cell types are organized and how this organization enables the computations they perform. To do this, we combine approaches from systems and molecular neuroscience and develop new
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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to carrying out high-quality research leading to the publishing of high-quality research. To pursue excellence in research and to inspire others to do the same. To perform these functions within the Wales
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background in genomics/bioinformatics and be able to perform research on complex genomic datasets using the command line in High Performance Computing cluster environments. This should include abilities in