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setting up a Bioinformatics team which will focus primarily on the development and application of methods (including machine learning) for interpreting combined genomic, transcriptomic, metabolomic and
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role (RSO I or II), knowledge and experience in drone usage, machine learning, with interest in RTK positioning systems, and path-planning algorithms will be considered an asset. The University of Malta
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for the post of RSO II, or a PhD degree for the post of RSO III, in a field related to computer vision and/or image processing, preferably with knowledge and experience in machine/deep learning. Applicants with
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Mendelian randomisation and 10-year follow-up data), and functional work that includes using zebrafish as an animal model. Machine learning algorithms will be used to analyse the multi-layered data
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Mendelian randomisation and 10-year follow-up data), and functional work that includes using zebrafish as an animal model. Machine learning algorithms will be used to analyse the multi-layered data