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Job description Ranked the #1 UK Modern University for Engineering and Computer Science (GUG 2025), Edinburgh Napier University leads innovation in a rapidly changing world through future-ready
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In addition, you should be well-organised, and proactive, have an engaging
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variety of customer queries. While full training will be given for all of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. The appointment will be for an initial fixed-term
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observational astrophysics. You will also have a record of submitting/publishing scientific research in leading astronomical journals, experience with scientific computing/scripting tasks and experience