Job Description
The position will undertake model conversion and deployment using technologies such as ONNX Runtime Web, JavaScript and WebAssembly, while developing interactive controls and 3D visualisations. Responsibilities include validating browser-based outputs against Python reference predictions, benchmarking performance, testing cross-browser compatibility and optimising application performance. The role will maintain a structured GitHub repository, establish automated deployment workflows, develop user and developer documentation and deliver technical handover, while contributing to project planning and milestone management.
We are seeking someone with a relevant degree and extensive experience, with demonstrated skills in open-source research software, responsive web development, scientific data visualisation and browser-based machine-learning deployment. Strong Python, JavaScript/TypeScript, HTML, CSS and Git/GitHub skills, together with experience in testing and automated deployment are also highly relevant. Strong analytical, problem-solving, organisational and communication skills are important, with experience in 3D visualisation, medical or neuroimaging, or health-related web design highly regarded.
This is an opportunity to contribute specialist technical expertise to an innovative research platform and support the translation of machine-learning research into an accessible and practical digital resource. Applications are encouraged from candidates with the technical expertise and research focus to make a valuable contribution to this project.
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