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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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discipline. A strong curiosity for human movement analysis and markerless motion capture. Experience with pose estimation, computer vision, and/or synthetic data generation for model training. Solid
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related discipline. A strong curiosity for human movement analysis and markerless motion capture. Experience with pose estimation, computer
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PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest in engaging and collaborating with
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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feedback. Classroom implementation and evaluation. Support and co-lead pilot studies in real CBL classrooms; contribute to data collection, analysis, and interpretation of the agent's performance, attending
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the Saharan Desert. Nice to have: Experience with Landscape Evolution Modelling. Experience with Low-Temperature Thermochronology and/or geochronology. Experience with Source-to-Sink analysis. TU Delft (Delft
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, meta-research, and improving research quality. You enjoy working at the interface of research, data analysis, and education, and are comfortable taking initiative while collaborating in
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EU policy analysis and evaluation Demonstrated experience in risk governance, risk regulation on an EU level An excellent written and spoken command of English, as demonstrated by publications in