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and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR compliance, and contribute
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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke
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15 Aug 2026 Job Information Organisation/Company Leiden University Research Field Biological sciences » Biodiversity Computer science » Programming Researcher Profile Recognised Researcher (R2
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vision, and/or synthetic data generation for model training. Solid programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity
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, and construction-task constraints, supporting real-time 3D visualization, human monitoring, algorithm testing, and pre-assembly validation. The platform will serve both as a research environment for
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using wearable sensors and novel instrumented insoles. Design,implement, and evaluate sensor fusion and ambulatory biomechanics algorithms to estimate kinematics and dynamics outside laboratory settings
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integrates seamlessly with other data and compute infrastructure (such as HuggingFace, DataVerse); Contribute to the OpenML codebase and platform by making code more maintainable and reviewing community
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flows, flow matching, neural ODEs as well as graph neural networks. Looking forward, the aim is to develop new mathematical and computational paradigms that can deepen our scientific understanding of deep
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
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; Develop novel algorithms for adapting and specialising visual foundation models; Publish research findings at leading machine learning and computer vision venues such as CVPR, ICCV, ECCV, NeurIPS, and ICLR