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Theory Group (SMTG) is led by Professor David O. Scanlon. We are seeking to recruit a Research Fellow in Computational Discovery of Wide Band Gap Conducting Oxides, who will computationally explore new
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excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data
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publications in top journals (or conferences) in one or more of the following areas: Quantum machine learning, Quantum algorithms , Quantum information theory or Theoretical Physics Essential criteria
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undertaking a specified range of activities within the research fields of holography, gauge theory and related areas. Role Summary Work within specified research grants and projects and contribute to writing
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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opportunity to work in at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes
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involves formalization in type theory and the mechanization of results using interactive theorem provers. The project welcomes a broad range of perspectives across functional-imperative programming
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, and data outputs are robust, version-controlled, and reproducible, adhering to FAIR (Findable, Accessible, Interoperable, Reusable) principles. Disseminate research findings through journal publications
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mathematics e.g. calculus and probability Ideally experience with command line and sequence analysis Good programming skills (e.g. R, Python, C/C++) Knowledge of basic statistics and application in R or similar