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position in nuclear reactor control. The work will be embedded in the SFI - SAINT project Sustainable, Applied and Industrialized Nuclear Technology, which supports the launch of 2-3 nuclear powered
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develop fundamental insights that enable improved catalyst and process design. This project is embedded in the HyCarb consortium , where academic and industrial partners collaborate on advancing sustainable
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is based in the Division of Pharmacoepidemiology and Clinical Pharmacology external link and embedded in the Centre for Pharmaceutical Policy and Regulation, a multidisciplinary, internationally
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. The PhD researcher will be formally embedded in the Department of Intelligent Systems (DIS) and will collaborate closely with the Department of Computational Cognitive Science (DCS). The project The SHIELD
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, and other project partners; publishing your research in leading international journals and presenting your work at international conferences. You will work here This PhD position is embedded in
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journal or conference on a relevant topic in machine learning, embedded systems, and edge intelligence Hands-on experience on Nvidia Jetson boards or other edge platforms Strong knowledge in deep learning
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machine learning, embedded systems, and edge intelligence Hands-on experience on Nvidia Jetson boards or other edge platforms Strong knowledge in deep learning, particularly large language models or multi
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-assisted and agentic interfaces for scientific imaging workflows. Establish best practices for testing, documentation, reproducibility and sustainable scientific software. This position is embedded within
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work internationally, and participate in TU Delft’s extensive training programme. The position is embedded within the globally recognized Department of Hydraulic Engineering (HE) at TU Delft, renowned
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data-driven learning and which should remain within structured optimization. In line with AID’s research areas, the project will emphasize knowledge embedding, uncertainty representation, risk-aware