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(scientific) programming, and an affinity with network analysis in particular. You are able to work with very large data and have the creativity and curiosity to develop AI models for network analysis
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universities and universities of applied sciences and TNO work together with citizens, businesses and local governments to develop sustainable heating solutions for neighbourhoods. The goal of this project is to
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from research universities and universities of applied sciences and TNO work together with citizens, businesses and governments to develop integrated energy solutions. The goal of this project is to
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Vacancies PhD position on Liveness from causality analysis Key takeaways Programs often suffer from liveness issues - they may get stuck or fail to make progress. How can we address this? Our
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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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quantitative finance, particularly statistical arbitrage. What are you going to do? You will work 60% of the time on your PhD-project, and 40% of the time on projects at Deep Blue Capital. Those projects will be
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advantage. Affinity with critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Experience in socio-ecological, and socio
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of the research interests of your prospective supervisor from her homepage. You will be joining an active and growing group around noncommutative geometry and functional analysis, within a larger group in Leiden
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legislation and regulations; developing new visual analysis techniques. Depending on your experience, identifying opportunities for collaboration both within and outside WFSR may also be part of your role