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psychological methods or a related discipline. Experience coding in R and Python (or related computer programming languages). Excellent written and spoken command of both English and Dutch. What else do we offer
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and analysing general Computer Vision methods, using real-world image data as a challenging experimental setting. Research focus The PhD will address open research questions in Computer Vision related
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vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
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Experiment (PRIDE) Doppler/VLBI data: open-source analyses in orbit estimation and ephemeris improvement. Job description We are seeking a highly motivated PhD candidate to strengthen the scientific
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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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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
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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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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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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