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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
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: develop physics-informed and physics-grounded world models that remain reliable under partial observation, where pure physics engines fall short; design methods that achieve large speed-ups in complex
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Research and Development Plan Project. Professor Xu Maozhi's main research interests are cryptography and information security. One of its achievements in group representation theory was recognised by
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codes and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Take a
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postdoctoral research is part of the NWO project “PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)”, which aims to develop breakthrough action perspectives and sustainable business
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to both technical metrics and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR
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to quantify the impacts of new component technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation
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the NWO project “PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)”, which aims to develop breakthrough action perspectives and sustainable business models for all parties in
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid