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planning and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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, publish the results and collaborate closely with the supervisory team and colleagues. This is what we ask of you You enjoy experimental research and want to work at the interface of physical chemistry
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particular emphasis on applications from psychology, cognitive science and computer science, and the candidate will be encouraged to engage in interdisciplinary collaboration and communication. We are looking
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In this unique opportunity as a PHD candidate, you will be conducting applied research in the Research Centre of Hotelschool The Hague in close collaboration with our Lector Alexander Schmidt, while
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
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by Industry 5.0 technologies and human–robot collaboration. Key innovations include Digital Product Passports (DPPs) and data-driven tools to improve lifecycle transparency, alongside methods
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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for research visits to our collaborators in Europe. Training can be provided in computational fluid dynamics and machine learning. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with