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structural modeling, machine learning, and competitive intelligence to infer demand using partial or aggregated signals. While early results are promising, important questions remain: Which partial data is
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and magnetic fields. A crucial aspect lies in the interpretation/modelling of the results. In this role, you will get to work with a variety of devices structures, with an emphasis on quantifying
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Planning in The Netherlands, a decent understanding, let alone a steering of industry is lacking. Building on earlier research, this PhD project will therefore analyse the structure and dynamics
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from WUR, and industrial stakeholders. Developing dairy alternatives is challenging since food structures and textures must be created from plant-based ingredients that provide the same mouthfeel as
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on construction and performance indicators. This will require an insight into how to fully automate the discrete topology design synthesis process across system levels and how to learn component descriptions and
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Description As a PhD candidate in Mathematical Statistics, you will develop novel methods for the analysis of temporal data. Of specific interest are monitoring procedures for structural breaks, which find
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. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing
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structure of magnetic fields in the cosmic web, the vast network of matter in the universe. About the laureate Martijn Simon Soen Liong Oei (b. 1993) is the Prize Postdoctoral Scholar in Observational
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candidate to conduct interdisciplinary research that links question answering, knowledge modelling, geo-spatial analysis, and workflow construction. This PhD position focuses on developing a semantic model of
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, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from the chemical structure alone. Once established, we will expand the self-driving