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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic
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the programme code: 8208F · leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further
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the programme code: 8050F · select ‘PhD Computer Science (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal
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, bioinformatic and statistical analyses, and the maintenance of clinical trial databases. The postholder will be expected to use version control and collaborative code management platforms (e.g. Git/GitHub) as
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analysis/coding. Desirable Interview Further Information Grade 7 Salary £38,784 - £41,064 per annum Work arrangement Full-time (100% FTE) Duration Fixed term from 1 June 2026, or as soon as possible
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able to conduct a range of bioinformatic approaches involving the use of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand
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to deliver high-quality teaching that is research- and practice-informed. You will have a background in applied sport science with experience in Performance Analysis and its application to football (all codes
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of the most persistent challenges in modern software development: "flaky tests"—automated tests that pass and fail non-deterministically without changes to the code. In this role, you will bridge the gap
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This role is full-time, fixed-term for 18 months. Closing date: 23:59 on 6th March 2026 Interview date: TBC By reference to the applicable SOC code for this role, sponsorship may be possible under
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, please prepare a code sample demonstrating your programming and data analysis skills (Include code files in a zip file named “Surname_Firstname_Pre-doctoral_Application**.**zip” with explanation of context