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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
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to interdisciplinary research at the intersection of blockchain technology, economics, and game theory. The focus will be on designing, analysing, and optimising economic mechanisms in blockchain-based systems while
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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(pre-requisites) Previous experience in academic research (nice to have) Passion for applications in addition to theory (nice to have) Workplace Workplace We offer In line with our values, ETH Zurich
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Graduate School at the Center for the Theory and History of the Image at the University of Basel invites applications for two positions for doctoral study on the theory and history of the image for four
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, invites applications for a PhD position. This position offers a unique opportunity to engage in research aimed at addressing contemporary challenges in management and organizational theory. Job description
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Studies, Italian Studies, Nordic Studies, Slavic Studies, and Eastern European Studies. The Doctoral Program's research foci include literary and cultural theory, the history of literary forms, arts and
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(Chair of Media History and Media Theory, Prof. Dr Markus Krajewski) is seeking to fill a doctoral position for a period of 3 years, as part of the research project 'Assisted Thinking. A Deep History of
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Description The Department of Media Studies at the University of Basel (Chair of Media History and Media Theory, Prof. Dr Markus Krajewski) is seeking to fill a doctoral position for a period of 3
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learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural language processing, algorithmic learning, fault