20 pattern-recognition "https:" "CMU Portugal Program FCT" PhD positions at Utrecht University
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Apply now Join our research team as PhD candidate on the DECIDE project, an ambitious inter- and transdisciplinary initiative to design AI systems for decision support, that contribute to the empowerment
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in exciting scientific communities on innovation and technology assessment. The project will be supervised by Dr Matthijs Janssen and Prof Wouter Boon . Where to apply Website https
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design thinking. You will collaborate closely during joint research days, workshops and events, while being based at the Copernicus Institute of Sustainable Development at Utrecht University. As part of
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mechanism underlaying plant interactions with this novel class of microbes. This knowledge will help us understand how to fine-tune suberization patterns for optimal crops stress protection. This ambitious
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of the Department of Physical Geography excels in research and education on BSc, MSc and PhD level. We research processes, patterns and dynamics of Earth’s systems from the mountains to the sea, and the interaction
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), the Sustainability Transitions Research Network (STRN) or the European Forum for Studies of Policies for Research and Innovation (EUSPRI). Where to apply Website https://www.academictransfer.com/en/jobs/357988/phd
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Dr. Guillaume Piton, INRAE), Switzerland (with Dr. Brian McArdell, WSL), and Italy (with Dr. Roland Kaitna, BOKU Vienna). You will use the collected data to identify fracture patterns that control
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of Methodology and Statistics. Members of the group conduct cutting-edge research on a broad range of topics, including survey design, measurement error, nonresponse, data integration, register-based statistics
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in a larger nitrogen deposition project in which spatial and temporal patterns in nitrogen deposition and air concentrations are measured and modelled Your qualities An MSc degree in ecology
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute