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PhD position: Develop Hybrid Machine Learning for Global Soil Mapping Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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Vacancies PhD position in Mapping the Modern Electromagnetic Environment: Identifying Stray Currents in Complex, Interaction-Driven Systems To vacancy overview Apply now EEMCS PhD PhD position in
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investigate why the same pathogen can cause severe disease in one microbial environment but establish poorly in another. You will work with a unique collection of 100 Dutch agricultural soil
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the required interaction with local managers. Motivated to contribute to knowledge dissemination and uptake activities for societal partners while also embracing Open Science and FAIR data principles
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participatory workshops and co-design activities with neurodiverse youth, teachers, and other stakeholders. Applying feminist HCI methods, speculative design, and embodied interaction in the context of
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. The project brings together expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech
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for long-term habitat development or too low soil quality for agricultural land. The project will investigate how NbS can integrate with existing infrastructure like storm surge barriers. Can these
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. Growing focus on the use of artificial intelligence techniques to support and accelerate the experimental work, e.g. data interpretation and prediction of structure-property relationships. https
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unfolds between partners in daily life and over time. Using experience sampling, laboratory interaction studies, and longitudinal assessments, we aim to uncover how daily interactions, relationship dynamics
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monitoring technologies based on a digital twin . The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its