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and publications, and engage with external partners and software contractors where appropriate. We value code quality, testability, automation, and maintainable research software. This role is suitable
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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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engineers. You will work independently on coding and analysis pipelines, engage with clinicians and experimental scientists to interpret and present findings, and contribute to study design, data integration
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. You will have appropriate knowledge of relevant software tools for this work, including coding in python or C, and experience with standard laboratory equipment for detector development. About the
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Ability to debug and troubleshoot issues in code and integrations Essential Interview Awareness of software quality practices such as testing, version control and documentation Essential Interview
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select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8208F leave the ‘Research Area’ field blank
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8208F leave the ‘Research Area’ field blank select ‘PhD Energy Materials' as the programme of study You
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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
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multiple Institute locations. Assist with managing statutory maintenance, housekeeping and safety and sustainability (LEAF) in the research laboratories. Ensure safety regulations and relevant codes
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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