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single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
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of Dr. Murthy, with close collaboration with Dr. Goonewardena and a broad network of national and international research partners. The fellow will lead multi-omic analyses using pipelines built by
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for creating a complete simulation framework based on CONRRAD and automated driving functions that fully utilise its multi-sensor stack. You could also develop your own research portfolio by supervising MSc
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data with clinical and other multi modal datasets. Collecting, recording and organising experimental data, maintaining accurate records. Contributing to the publication and dissemination of research
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employment outcomes across demographic groups, including disadvantaged and care-experienced graduates - Apply advanced statistical and psychometric methods (e.g. scale development and validation, multilevel
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practice composition and performance; and first response services in rural communities, using a range of methodologies including realist evaluations, systematic reviews, scheduling and data forecasting
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interest - Criterion 2 – Knowledge and profile appropriate to the functions to be developed VII.III- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with
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communities; Knowledge of methodologies, tools, and techniques for territorial representation, taking into account multiple scales, temporalities, and processes, and the ability to integrate these with
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, the weighting will be curricular evaluation (60%).; ii) previous experience (10%) and selection interview (30%). Only candidates with a final classification equal to or greater than 50 points, on a scale of 0 to
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, environmental hazards, and human health using integrated observations, forecasting systems, artificial intelligence, and statistical approaches. The team works across multiple spatial and temporal scales