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Borst and Leendert van Maanen). We envision that you will: (1) develop a standard HMP analysis protocol and use that to analyze and label existing data, (2) develop EEG-to-sequence classification
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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, reading groups, workshops and visitor programme. Additional Information Benefits We will give you a temporary employment contract of 2 year(s). Your salary within salary scale 10 depends on your previous
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which factors determine feasibility and performance. What will you do? Improve, document and apply a regional groundwater model for variable-density flow groundwaterflow and coupled salinity simulations
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project, you will develop and validate experimental methods to study wafer bonding in a quantitative and physics-based way. You will work on wafer bonding measurements and combine these with advanced
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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) literature on public participation in decision making. Based on your research, you will develop and test a Local Engagement Decision Tree (LEDT) that policy makers can use to choose and tailor the adequate
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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 14 October 2026 Apply now Join an ambitious
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Are you interested in how developments in data technology are affecting farming systems particularly in relation to ethical and social issues? Do you have empirical research skills that you are
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Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity