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substance use and mental disorders. The Matilda Centre brings together researchers in broad fields to share skills, integrate data, and harness new technologies to develop and trial innovative prevention
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apply quantitative and data-driven models to study protein interactions and their context-dependent behaviour, linking computational predictions with condition-specific biological responses. You will have
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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junctions and triple junctions tandeming perovskites with perovskites, CIGS, OPV and Si for large area cells or modules. Their true sustainability, cost effectiveness and how they are integrated
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large-scale cross-cultural and longitudinal studies in collaboration with international research teams manage multi-site data collection, including ethical approvals and cross-country protocols conduct
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point of contact Experience working with Global Burden of Disease (GBD) Study data with successful publications utilising this data Experience designing and creating self-help tools for people who suffer