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adverse outcomes, including self-harm, method escalation, suicide, premature mortality, as well as discontinuation of care. The CDSS will provide a summary of the most critical risk factors and propose
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and data visualization techniques. *Experience working with longitudinal time course data sets. *Familiarity with multi-omics data integration approaches. *Ability to clearly document methods and create
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. *Experience working with longitudinal time course data sets. *Familiarity with multi-omics data integration approaches. *Ability to clearly document methods and create user-friendly workflows. *A demonstrated
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history, the CDSS will provide clinicians with personalized risk profiles for relevant adverse outcomes, including self-harm, method escalation, suicide, premature mortality, as well as discontinuation
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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, Crystal Engineering, Chemical Engineering, or related disciplines and experience in development of crystallisation method of pharmaceutical and biopharmaceuticals, solubility analysis, solving crystal
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an innovative interdisciplinary approach. Working in collaboration with the School of Education and the INFANT Research Centre at University College Cork, the project employs a longitudinal mixed-methods design