11 computer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"System-Office" PhD positions at Utrecht University
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connections between individuals, groups, and institutions contribute to new pathways to and forms of social cohesion. See https://socion-program.org/research/ For more information about this position
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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on
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mentality. We are looking for you, if you have: a (research) master’s degree in Artificial Intelligence, Computational Linguistics, NLP, Computer Science, Data Science, or a related field, with a strong
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candidates with: An MSc degree in (or nearing completion of) an MSc program in Geoinformatics, Computer Science, (Quantitative) Geography, (Spatial / Geographic) Data Science, Environmental Science, or a
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burial of microplastics and POC in turbidity currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the
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system. Because apomictic plants reproduce through clonal seeds, they allow us to disentangle genetic from epigenetic effects with unprecedented clarity. The project combines high-resolution analysis
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computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a postdoc at NIOZ in a collaboration with
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substances on the nervous system. You will work on the PhD project “Towards a tiered risk assessment strategy to evaluate the safety of herbal supplements”, which is commissioned by The Netherlands Food and
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boundaries in the (mental) healthcare system. As a postdoctoral researcher in this project, you will conduct in-depth empirical studies on the dynamics of responsible scaling in digital mental healthcare