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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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, Python, JavaScript, Ruby) for developing interactive, data-driven visualisations. Strong collaboration and communication skills, with the ability to convey technical concepts to diverse audiences in
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the simulation and design of optical systems for spatial and temporal optical beam shaping. Demonstrated expertise in programming, especially C++, python, and/or Matlab. Ability to work both independently and as a
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experience applying these methods to real-world systems and technologies. Familiarity with software tools such as SimaPro, OpenLCA, Aspen Plus, MATLAB/Python, and data visualisation platforms. Demonstrated
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of sensing technology solutions Knowledge of feature engineering and the development of new spectral indices Proficiency in data analysis and visualisation tools using software environments like Python, Google
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variant analysis will be highly regarded (e.g. bulked segregant analysis, mapping population design, whole genome sequencing, long-read sequencing) Experience with R, Python, or equivalent programming