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software framework for the testing of age estimation technologies (AET) from facial images This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection
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diagnostics and build your growing research profile. Collaborate closely across disciplines, including genomics, clinical medicine, statistics, software engineering, and compute infrastructure to co‑create
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statistics. Software frameworks: Excellent programming skills in Python, R or similar, with experience in frameworks such as PyTorch, TensorFlow, JAX, etc. HPC & Big Data: Proficiency in high-performance
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. NVivo or other software. You will have proven ability to plan and organise your work independently and as part of a team and have the ability to write research presentations and papers for peer review
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demonstrable skills in, evidence synthesis Excellent general IT knowledge and skills, including Word, Excel, PowerPoint and reference management software (e.g. EndNote) Experience of the following is useful
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and expertise in data analysis and be skilled in the use of e.g. NVivo or other software. You will have proven ability to plan and organise your work independently and as part of a team and have the