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‘Course Search’ to identify your programme of study: · Search for the ‘Course Title’ using the programme code: 8100F · Research Area: Chemistry · Select ‘PhD in Chemistry (full time) as
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University. This is a hands-on role focused on delivering high-quality code as part of our in-house technical infrastructure team. You will play a key part in building OpenScan - our cloud-based data platform
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8100F Research Area: Chemistry Select
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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang)
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MRC DiMeN Doctoral Training Partnership: Exciting PhD opportunity - Cracking the RNA Code of Inflammation: A New Frontier in Ageing Research
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standards and codes of practice, including the Concordat to Support Research Integrity. Experience of working in a similar role in an academic environment or within the Higher Education sector is required, as
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professors with lab course preparation ; guide students in code/hardware debugging, digital system testing, and data preprocessing ; support cross-discipline tasks; answer real-time experimental questions
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College London, quoting the funding code 2627AHCDA. Funding Comment Funding will be for 3.5 years (full-time) or 7 years (part-time) Annual stipend (UKRI rate: £22,780 (including LWA) full time for 2025/26
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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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data governance Business process modelling, workflow automation, and low-code/no-code platforms Digital product management and agile delivery methodologies The role will involve contributing to our