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development and this may include aspects of machine learning, artificial intelligence, and data science. The ideal candidate will possess strong programming skills in R or Python, excellent communication
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Engineering Demonstrated knowledge and experience of the Quantitative and Qualitative Research Methods, Software Design Methods for Secure AI-Enabled Software, Applied Machine Learning, Natural
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, e.g. using machine learning techniques, to improve the accuracy of predictions for polygenic risk scores in psychiatric patients. Conducting quantitative genomic analyses of complex traits using various
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