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, Computer Sciences, or equivalent Excellent motivation to work on soil-plant processes, remote sensing and modeling Experience with data-processing or programming in Python, Matlab, IDL, GrADS, R, or other
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implementation of a 3D-Var framework to assimilate radar data: reflectivity, vertically integrated liquid, differential reflectivity, and Doppler velocity. The following related tasks are expected: Pre-process and
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) Experience in these areas is a plus: Knowledge graph construction from semi-structured data (tabular) data understanding Natural language processing (NLP) graphRAG Your tasks will include: research in
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containing products is often critical for their mouthfeel, but often also for their stability and processability. Think of all the layered dough in foods, but also all the dairy and plant-based dairy
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their diversity, must integrate and execute a set of common processes to survive and replicate (metabolize nutrients, generate cellular building blocks, maintain cell shape and size, replicate and segregate
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a "co-researcher" in the pre- and post-processing of numerical simulations. Depending on your expertise and interest, you will work on one or both of these topics. Where to apply Website https
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to apply for personal fellowships is fluent in both spoken and written English Selection process Interested candidates should submit their candidacy through the KU Leuven online application tool. A complete
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year + 3years) Eligibility criteria • You have a master's degree in industrial engineering technology or engineering sciences(plastics processing, mechanics, materials science, chemistry
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, including its societal importance and the practical and policy dimension. You perform your work systematically and perseveringly. Selection process For more information please contact Prof. dr. Paul Schoukens
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for fieldwork as required. As a PhD student, you will assist in teaching activities and supervise master’s theses (a few hours per week on average) Selection process To apply for this position, please submit