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Full Time: 35 hours per week Fixed Term: 1st January 2026 – 30th June 2029 (42 months) We are looking for a Postdoctoral Research Associate in Digital Cultural Heritage Data Ethics & Software
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covers a colleague's parental leave, and is therefore limited to the colleague's actual period of leave. About the team: Your future position is in the Research Group Software Architecture at the Faculty
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for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications, open-source software development, and training materials. This position is full-time and fixed-term
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project Develop software for the analysis of simulation data Contribute to further developments
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experimentally validate sensors and AI software for medical imaging, 2) Integrate pioneering and proven tools for the early cancer detection, and 3) Examine clinical workflows and validate the established systems
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, open-source software development, and training materials. This position is full-time and fixed-term for 30 months. This post is available from January 2026 and must end by 30 November 2028. Applications
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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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, and implementing the arc model in a commercial software package (Ansys Fluent). The School of Engineering is an Athena Swan Silver award holder and is committed to encouraging, developing and supporting
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following: Analysis and interpretation of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project Develop software for the analysis of simulation data