60 structural-engineering-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" 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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models that integrate: Fungal growth & network morphology – How do hyphal structures influence gene flow? Genome architecture – Why do some genes stay put while others hitch rides on Starships
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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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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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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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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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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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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
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of survey sampling Knowledge of structural equation modelling: this is for the PhD position in “small area estimation in presence of latent variables” Knowledge of data integration techniques (statistical