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capture and collaborative governance in urban transformation processes, and assessing their social, environmental and economic impacts. You will develop a basic land valuation model to estimate land and
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candidate with: A Master’s degree in Geodesy, Geomatics, Geophysics, Civil Engineering, or a related field. Strong interest in InSAR, geodetic data analysis, and dynamic estimation methods. Programming skills
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nurses throughout all phases. The work begins by defining human-centered design requirements through data probes combined with qualitative research methods including observations, interviews, and user
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Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data-driven workload estimation, intelligent release
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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of activation. This project aims to close this gap by developing methods to identify malicious domains closer to their inception, as soon as indicators of compromise surface. Building on our prior work using
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combine social practice theories in designing for social change, with the use of design fiction methods for imagining alternative living possibilities. This requires a methodology based on an iterative
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level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted to your specific interests and your
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7 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer
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students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which