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this means for separation and procedure design. Quantify the relation between safety, capacity and efficiency under a mixed future fleet. Identify how we should design procedures for such a heterogenous mix of
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1 Aug 2026 Job Information Organisation/Company Wageningen University & Research Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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and support well-founded decision-making within the programme. You design and organise engaging workshops and learning experiences for students, connecting digital and technological developments to real
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
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design and characterise reconstruction methods—both machine-learning-based and traditional—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray
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understood. In particular, we need to know how the solid layer develops, how it affects heat and mass transfer, and how surface design can improve the efficiency of the process. As a PhD candidate in the
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of high-performance computer systems You preferably have experience with hydrology, and affinity or experience with agent-based modelling and large-scale data processing with societal relevance You are able
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of years are investigated by combining fieldwork, lab work and computer simulations. By bringing together our fundamental understanding of system Earth and our fresh curiosity we conduct research that is
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profiles. Identification of molecular signatures in platelet disorders and bleeding disorders of unknown cause (BDUC). Development of machine learning models for patient stratification. Integration