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Field
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functions, as well as visualisation of multi-sensor data. You will also support the optimisation of full-stack automated driving pipelines and contribute to the design and evaluation of novel perception
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Biosciences (King’s College London). It will develop pioneering approaches to enable the creation of full molecular ‘maps’ of disease tissue, spanning multiple scales from whole organ down to individual
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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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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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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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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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on CONRRAD and automated driving functions that fully utilise its multi-sensor stack. You could also develop your own research portfolio by supervising MSc individual research projects aligned 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 application deadline; For degrees obtained abroad, the record of recognition of the academic degrees and record of the conversion of the respective final classification to the Portuguese classification scale
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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