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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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Linguistics. They will also design Foundations of Maths and Programming for Computational Linguistics for the same postgraduate programme and teach it from 2027–28. This is a fixed-term role for two years
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experience of embedded systems programming (e.g. C/C++ on microcontrollers) for data acquisition and device control. You should have solid knowledge of analogue and mixed-signal circuit design for sensor
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-throughput sequencing data, proficiency in programming languages such as Python or R, Linux/Unix command-line skills, and the ability to develop reproducible analytical workflows. Experience with
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, VLT, or ALMA, is a bonus), and strong working knowledge of ISM physics of high-redshift galaxies. Programming and data-analysis skills are essentials, as is the ability to plan and prioritise their
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experience analysing high-throughput sequencing data, proficiency in programming languages such as Python or R, Linux/Unix command-line skills, and the ability to develop reproducible analytical workflows
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observatories such as HST, Keck, VLT, or ALMA, is a bonus), and strong working knowledge of ISM physics of high-redshift galaxies. Programming and data-analysis skills are essentials, as is the ability