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are seeking a motivated candidate with a Master degree in epidemiology, data science or health economics. Experience in simulation modelling, regression analysis, mathematical background and (clinical) work in
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master project in experimental ultracold atom or trapped ion group; good team working skills; good English skills; experience with at least a few of the following: experimental work with optics, lasers
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expected to be able to act independently as well as to collaborate effectively with members of a larger team and supervise Master students. Good English skills are required. The work takes place in Delft
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It’s not about ticking boxes—it’s about your perspective, ideas, and drive. Does this sound like you? Academically grounded – Successful completion of a Master degree in Economics and Business
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international peer-reviewed journal articles and an article-based PhD dissertation. Your supervision team will consist of Dr. Roderik Rekker (main substantive supervisor), Dr. Hakan Çakmak, Dr. Bojana Većkalov
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. MPhil, Research Master’s degree or Master's degree in Operations Research, Econometrics or Mathematics is preferred. Candidates with an MSc or MA degree are required to successfully complete 1 year of
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journals; participating in PhD training programme of the University of Amsterdam and The Graduate School Neurosciences Amsterdam Rotterdam (ONWAR); assist teaching and supervision of Bachelor and Master
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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-creation processes by designing methods of co-creation differently. This is the main research aim of this PhD research. Specifically, this project focuses on key research frontiers: how co-creation can
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of Japan studies at Leiden University. Key responsibilities Conduct original research and disseminate preliminary results through appropriate channels (conferences, journals, project website, etc