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into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility of the PhD position advertised here will mainly involve
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PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the Plant
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predictive modelling. The project gives you the opportunity to work across scales: from thousands of plants and complex microbiome datasets to mechanistic experiments with individual microbial isolates. Your
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interact with complex glycans and how receptor binding evolves across strains and host species. Depending on your background and interests, you will contribute through complementary approaches such as
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of media governance. We are looking for a curious, creative, and collaborative researcher with strong training in historical research methods to investigate the contestation of the public media model from
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collaboration with a PhD candidate at the Methods and Statistics department, for example on complex data analysis, and the development of personalised visualisations for use by clinicians and patients. You also
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complex research project and collaborate constructively in a research team. Furthermore, your suitability is ideally demonstrated by: experience with multilevel modelling, nested data and statistical
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descriptive and association studies, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration
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of media governance. We are looking for a curious, creative, and collaborative researcher with strong training in historical research methods to investigate the contestation of the public media model from