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Field
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to deliver robust, scalable solutions that will eventually be integrated into widely used scientific software libraries. The successful candidate will join a dynamic research environment and gain access
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focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative colleagues who share a common interest
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developed a unique methodology and software to simulate and analyse the performance of gas turbine engines in the past half century. The research in this area at Cranfield will be a good starting point for
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biomechanical technologies to analyse movement. Experience and competence in software to code and analysis data. The ability to undertake quantitative research. Strong interpersonal, communication and
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of Text Analytics and head of the GATE team part of the NLP group at The University of Sheffield. She is a world-leading researcher in Natural Language Processing. She has been a leading developer of the
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experimental test data. This project will harness new software capabilities to better understand bone mechanics, providing insight into the cause of OI fractures and its management. The successful candidate will
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methods. This broad approach will offer several verification methods; the choice could be linked and justified by the value of an article. The activities here are motivated by the need to provide robust
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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a strong background in discrete mathematics, algorithms, computational complexity, automata, logic, formal languages, verification, or related topics with undergraduate and/or master’s degrees in
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discipline) Evidence of engagement in research activities (e.g., managing a research project, publishing journal articles, conference presentations) Experience of using statistical and/or analytical software