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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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Jurassic carbon-cycle dynamics in order to disentangle the secular evolution of Jurassic carbon-climate interaction during rapid icehouse–greenhouse transitions. We propose to reconstruct pCO₂ across
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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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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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follows: Informed by the preceding qualitative phase, we will collect novel survey data. We will apply Correlational Class Analysis to uncover different meanings ascribed to climate change among
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understanding of soil–foundation interaction under complex offshore loading conditions. Relevant topics include installation effects, cyclic and dynamic loading, long-term performance, and the removal or reuse
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the VITAL consortium and contribute to patient-specific or cohort-level virtual human twin simulations. You will also contribute to patient-specific model calibration workflows, including sensitivity analysis
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. The Science Section is a dynamic team leading EO research and Earth system science activities, in partnership with European and international scientific groups. Our main goal is to maximise the scientific