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patients’ experiences of ‘death’ and ‘deadliness’ This monograph should consist of a critical phenomenological analysis based on a literature review and data collection. This data collection will mainly
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ways to detect and hide them using natural language processing and audio analysis. We look at anonymisation, but also go beyond to study attributes of speakers, which recent work has identified as an
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revealing factors in multi-speaker and multi-modal data and find ways to detect and hide them using natural language processing and audio analysis. We look at anonymisation, but also go beyond to study
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motivation to conduct interdisciplinary empirical research at the intersection of developmental psychology and cognitive neuroscience. You have experience with quantitative data analysis techniques such as
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sound like you? You should hold a Master's degree in spatial planning, urban and regional studies, policy and systems analysis, strategy and decision-making, infrastructure management and operations, or a
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. In this project, you will study how this impacts the anaerobic removal of methane. You will use state-of-the-art techniques for sampling and analysis (e.g. benthic lander incubations, synchrotron-based