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computational tools to answer questions in cancer research. They are collaborative and creative, and have strong programming skills dedicated to the analysis of large-scale genomics data. Experience with
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. They are collaborative and creative, and have strong programming skills dedicated to the analysis of large-scale genomics data. Experience with the analysis of omics data is required for this position. Knowledge of cancer
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intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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related field, and have a keen interest in multimodality and audiovisual media. Previous experience of applying computational methods to large volumes of audiovisual data is essential. The appointee must
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collaborate effectively in large inter-disciplinary teams from different cultural backgrounds Strong ability to support Masters-level teaching in the human dimensions of natural resource management Strong
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relevant to the PhD project The ability to analyse and interpret large economic datasets The grade point average for relevant courses Experience with large datasets, administrative data, or advanced