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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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an ambitious research agenda and collaborate closely with the FIRM PhD candidates, Nationale‑Nederlanden and other partners. Designing and implementing a data collection protocol for flood damage observations in
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articles and present papers and posters. About You You will hold, or be close to completion of, a PhD/DPhil in a biomedical science related discipline. You will possess established expertise in data analysis
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work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics
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related topic; experience with plant mineral homeostasis and/or tomato research; demonstrated expertise in the analysis of large data-sets; a strong interest in experimental research; an excellent oral and
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demonstrate equivalent research experience and qualifications. Experience in both wet-lab and dry-lab research is beneficial. You must have expertise in analysis of large-scale genomic data and confidence in R
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12 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2