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to collectively explore urban futures? This position is hosted by the Faculty of Geo-Information Sciences and Earth Observation (ITC) within the Sector Plan Beta II program’s focus area on Spatial Dynamics, which
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Research (NIOZ), TU Delft, TU Eindhoven, Naturalis, University of Amsterdam and multiple others. Further project partners involve a broad range of stakeholders in the North Sea area, including NGO’s, Dutch
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combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid
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forcing wind turbines offline or heatwaves and droughts reducing cooling water availability for thermal power generation. Of particular concern are compound energy droughts, where multiple stressors occur
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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the development of techniques to leverage data from multiple EM modalities to improve image quality. All developed methodologies will be validated using appropriate EM datasets and experimental setups, in
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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, for whom and why. Conduct multiple case study research adopting various qualitative and quantitative research methodologies. Build bridges between theory and VET education practice (back and forth) and
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, stimuli selection, recruitment, participant testing, report writing). Experience with experimental software (e.g., Presentation, PsychoPy, E-Prime, Gorilla). Experience in data analysis and programming in R