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developing bespoke electromagnetic simulation software and/or using commercial software including COMSOL Multiphysics and Ansys Lumerical using high-performance computing resources. Experience with machine
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discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility
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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