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this information will not be considered. Position #1 - experimental In this PhD study, you will evaluate and help optimize a highly diverse intercropping system. You will assess which combination of service crops
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model to describe intra-wave cross-shore sand transport and morphodynamics (e.g. OpenFoam). The model will be validated using lab and field data. Finally, the research model will be used to inform
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with systems biologists and modelers to integrate experimental data into metabolic and resilience models. Disseminate research findings through publications, conference presentations, and collaborative
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of the ERIM Business Processes, Logistics, and Information Systems (LIS), Supply Chain Management (SCM) section doctoral program is to be at the forefront of developments in its domain. We are committed
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and pro-social tendencies, building on existing validated scales. This “Civic Engagement tool” will have the form of a serious game, whereby data collection is embedded within the gameplay itself. Your
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, startup acquisition, and startup wage setting. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data
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neuroscienceanalyses to MRI data from multiple species , the project aims to study the evolutionary basis of human cognition —including language, working memory, theory-of-mind , and the specialized brain networks
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. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for everyone
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). Perform anatomical dissections on human specimens to collect in-vitro data for model validation. Design and conduct motion capture experiments in diverse settings: laboratory environments, athletic fields
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requirements, and (ii) just-in-time authorization that enforces real-time, risk-adaptive usage control across organizations. You will design a usage-control pipeline that evaluates every data request against