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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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or cryo-ET sample preparation, data collection and image processing is particularly valuable. You are interested in understanding molecular mechanisms of host–pathogen interactions and are willing
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postdocs at the partner institutes and with TU Delft staff and PhD students working on HVDC, protection, wide-area stability and cyber-physical power systems. Progress is shared in regular consortium
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PhD Positions Application Deadline 25 Sep 2026 - 13:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2026 Is the job funded
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Science includes research on work environment, technology and production systems, work organization, and/or other social processes from humans’ conditions and needs in order to create safe and attractive
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible
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these critical cellular processes. You will lead independent research, design and perform innovative experiments using biochemical and structural biology approaches, analyse complex datasets, and contribute
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eager to combine computer vision, biomechanics, and synthetic data generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical
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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related
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for high-performance infrared photodetectors and imaging systems. We invite applications for two postdoctoral positions focused on next-generation SWIR and room-temperature MWIR photodetectors based on III–V