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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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Knowledge of software packages, including Word, Excel and chemical structure drawing and bibliographic programmes Knowledge of analytical and preparative LC_MS techniques Track record of published research in
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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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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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record of working collaboratively in interdisciplinary and international teams. Track record of doing research in diverse international settings. Proficiency in analytical and statistical software
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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. Track record of working collaboratively in interdisciplinary and international teams. Track record of doing research in diverse international settings. Proficiency in analytical and statistical software
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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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statistical and medical imaging analysis software Practical experience in a broad range of MRI techniques including CMR Downloading a copy of our Job Description Full details of the role and the skills