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skills in Python, and familiarity with libraries such as TensorFlow, Keras, PyTorch, or similar Experience working with large datasets and applying data preprocessing techniques (e.g., image augmentation
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programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
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low-coverage whole genome data Experience performing species delimitation models and understanding multi-species hybridization Proven ability to work with large datasets Experience working on a high
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understand how we can support older people to stay in their own home as they age. You will do this by modelling health data from longitudinal studies of health. This project is part of the Advanced Care
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two large-scale clinical trials in primary care, and as such is to-date the largest-scale attempt at establishing a causal evidence-based regarding computational mechanisms of clinical treatments