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algorithms to shape the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design
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software development work and running complex robotic experiments with different platforms. Job requirements Required qualifications and qualities: MSc degree in software engineering or robotics, and similar
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competence in three-dimensional Lagrangian Particle Tracking, Object-Aware Shake-the-Box algorithms and helium-filled soap bubbles seeding for large-scale 3D-LPT experiments. You are familiar with LaVision
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» Algorithms Mathematics » Applied mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 6 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable
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of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
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interaction and/or surface flux computation, including familiarity with bulk flux algorithms and observational QA/QC procedures. Experience with processing, analyzing, and interpreting multi sensor
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging