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Field
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description The functioning of cities depends more than ever on urban infrastructures like transportation networks, power grids, water networks, Internet of Things sensors, and analytics platforms that gather
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approaches Strong analytical and writing skills Excellent command of English (C1; written and spoken) Preferred qualifications A Research Master’s degree Experience with fieldwork or interviews Interest in
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looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? Strong analytical and interdisciplinary mindset – You enjoy bridging medical statistics and
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Innovation: Exploiting and developing NDT technologies tailored specifically for Dutch half-joint geometries. Data Analytics: Developing advanced analysis methods to identify and characterize local damage
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involve collaboration with external partners working on applied AI systems. Possible domains include geospatial analytics (for example in collaboration with a startup), as well as decision-support
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recognition, diffusion, and legitimacy. The focus is on advancing theory through conceptual reasoning, analytical approaches, and engagement with novel forms of data. For further information: Chandrika Rathee
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base
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to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development of analytical methods, digestion models, dietary
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entering PhD students. Valid GRE (revised) General Test results are required from all PhD applicants (all 3 sections: Verbal Reasoning, Quantitative Reasoning and Analytical Writing). Successful applicants
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, electrochemical impedance spectroscopy) and analytical techniques (SEM-EDX, XRD, Raman). You have a drive towards understanding the underlying mechanisms behind the observations and like to think in terms of e.g