233 structural-engineering "https:" "https:" "https:" "UCL" "UCL" PhD positions in Netherlands
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Technology, Science and Technology Studies (STS), or a closely related field; experience with qualitative research methods (e.g., interviews, ethnography, participatory research, co-design, discourse analysis
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be the driving force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute
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processes, structures and institutions are shaped. We welcome colleagues who can further strengthen the diversity of perspectives and backgrounds in our department. As PhD candidate you will be member of
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on learning, instruction, and educational technology within the team Educational Sciences at Erasmus University Rotterdam. The project is enabled by research funding from the Dutch Knowledge Institute
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always held a central role in applied mathematics and, nowadays, its popularity has surged in fields traditionally focused on real-world applications, such as engineering, machine learning and imaging
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be supervised by Svenja Fischer, Ryan Teuling and Josh Ho (from ESG group). Where to apply Website https://www.academictransfer.com/en/jobs/357374/phd-candidate-incorporation-of-… Requirements Specific
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understanding. You will be supervised by Svenja Fischer, Ryan Teuling and Claudia Brauer. Where to apply Website https://www.academictransfer.com/en/jobs/357376/phd-candidate-ml-based-predicti… Requirements
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peptide synthesis. You enjoy collaboration and employ a structured and careful approach. You have experience with routine chemical analyses, in particular HPLC-MS. You have an affinity for teaching and
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colloid and interface science, with a focus on non-equilibrium soft matter structures—especially bicontinuous interfacially jammed emulsion gels (bijels). We engineer bijels through the interfacial self
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at the University of Twente is looking for two PhD candidates to join the research team of Dr. Gaurav Rattan. The positions are funded by the NWO VIDI project Learning on Graphs: Symmetry Meets Structure (LOGSMS