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phenotypes coupled with genotypes, for discovery, prediction and causal inference in epidemiological studies (including but not limited to genome-wide association studies of molecular phenotypes, Mendelian
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
. The research to be addressed AI has been applied to Software Engineering for some time, and in areas such as software effort estimation, defect prediction, and project management in general. And more recently
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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project RECLESS (Recycling versus loss in the marine nitrogen cycle: controls, feedbacks, and the impact of expanding low oxygen regions). RECLESS aims to predict how ongoing ocean deoxygenation impacts
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Conservation D. How plant cell shape and tissue structure help cells stick together E. DETERMINER - Determining appropriate monitoring frequency for phytoplankton F. Predicting bacterial protein expression
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-function in a steroid-synthesizing enzyme is a predictive biomarker of poor outcomes after hormonal therapy (Hearn, et al.Lancet Oncol . 2016;17:1435-44;JAMA Oncol . 2018;4:558-62;JAMA Oncol . 2020;6(4
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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of operational commercial satellites with a revenue stream of tens of billions of dollars per year. There are also a number of other satellites that assist in navigation, weather prediction, and telecommunication
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and transport of proteins and lipids between cytosol and cilia by an unknown gating mechanism. By employing an integrative approach involving protein structure prediction by AlphaFold 3 combined with
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health and translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim