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community. Selection Criteria: A doctoral qualification (PhD) in a relevant discipline (e.g. Exercise, Young Onset Dementia, Dementia, Public Health). Demonstrated record of high-quality research outputs
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evaluating the efficiency and accuracy of both physics-based models and machine learning techniques, leveraging high-performance computing resources. The role will involve collaboration with leading
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seminars, workshops, or training activities aligned with the project. Who we are looking for - Selection Criteria: Essential PhD (or equivalent) in Computer Science, Software Engineering, Artificial
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for these fellowships will normally be expected to meet the following eligibility criteria: A track record of proven academic excellence, such as a PhD or first class Honours (or equivalent). Completion
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-sensor hyperspectral data for crop disease detection and monitoring. Develop machine learning or physics-informed models to retrieve reliable spectral and/or biophysical features, from multi-scale
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record