26 algorithm-development-"Multiple" "Prof" Postdoctoral positions at University of Groningen
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of the planning and implementation processes with emerging energy technologies. You will develop and execute trainings and workshops for practitioners based on theories in Environmental psychology and empirical
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devices. Presently thick TaC coating on graphite is being developed to catch up the demand. However, this crucial development is currently hampered by the high tendency of dense micro-cracks and
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the European Research Council (ERC) and led by Prof. Bettina Reitz-Joosse. The postdoctoral researcher will study representations of making in ancient Roman visual culture (e.g. depictions of craftsmen at work
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feed into the energy optimization models you develop and solve. The goal is to identify factors influencing the energy transition, assess potential risks, and create a comprehensive roadmap for an
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partners. The successful applicant is expected to carry out research on the algorithmic foundations of digital platforms for large-scale deliberation. The research has the potential to directly inform the
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own line of research. Organisation The Faculty of Spatial Sciences (FSS) focuses
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growth processes for supplying wide bandgap materials in the fast growing market of semiconductor power devices. Presently thick TaC coating on graphite is being developed to catch up the demand. However
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. The focus of this project is the development of advanced electrochemical purification methods to recover lithium from industrial wastewater. In this project, the postdoctoral researcher will focus
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and material performance remains unclear, let alone inverse design of these molecules. The goal of this project is to develop ML models for: 1) predicting properties of oligopeptide materials based