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research advances visual analytics for the interactive exploration, analysis, and interpretation of complex data, including approaches that integrate human-centered artificial intelligence to support
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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and biomechanical assessment of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging
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, transdisciplinary research, particularly in the domain of energy and climate change. Position 2: Spatial data science, modelling (incl. ABM) and visualization, economic methods, and aiming for transparency, trend
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. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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in AI, mental health, gender, care, inequality and/or urban research. Knowledge of Rotterdam or experience working with community organisations. Experience with qualitative data analysis. Our offer We
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine