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teaching and research around a variety of thematic, geographical and theoretical approaches including, among others, network theories, connected history, reading history, medical humanities, material culture
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Are you passionate about making public transportation and public space more accessible? Join the BRIDGE-XR project and co-create real-world accessibility solutions that transform public
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programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
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a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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Research focusses on theories and models from marketing and consumer research that can contribute to successful new product development (NPD). The group has experience in teaching and conducting high quality
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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‑gravity environments, in close contact with collaborators in the LISA community and beyond. Your mission is to advance the theory and computation needed to identify dark matter signatures in gravitational
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the group. To strengthen the mathematical backbone of your work, you will collaborate intensively with: Prof. Remco van der Hofstad (Eindhoven University of Technology, expert in probability theory and
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Graduate School of Business . At the start of the program, you will mainly receive extensive graduate-level training in theory and methods by taking several PhD-level courses. The course load amounts to 36