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, resulting in inconsistencies across soil properties and underperformance in data-scarce regions. This PhD project will develop next-generation machine learning methods for geospatial prediction by integrating
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& Spatial Planning, Physical Geography, and Sustainable Development. The team of the Department of Physical Geography excels in research and education on BSc, MSc and PhD level. We research processes
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PhD candidate to investigate how the potato microbiome influences interactions with two major plant pathogens: Phytophthora infestans and Ralstonia solanacearum . You will combine high-throughput plant
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PhD Position on Predictive Plant–Microbiome–Pathogen Interactions Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 1 October 2026
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of the PhD position advertised here will mainly involve the development of the computer model for flux quantifications, and the validation of the model against laboratory experiments. Training A personalised
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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: Mixing in turbidity currents in experiments and submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 2
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Earth Sciences is looking for a highly motivated PhD
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at the Faculty of Social and Behavioural Sciences has a job opening for PhD candidate. In the position of PhD candidate, you are responsible for conducting original research on computational models of semantic