10 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" Postdoctoral positions at University of Groningen
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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data and the algorithms need to comply with local legislation. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical mobile applications. Investigate
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Applications are invited for a 2-years position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting
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and continuous development of regional innovation strategies as part of the European regional economic policies framework (EFRD, for example). How can such stakeholder networks best be leveraged
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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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jointly developing and implementing tools for better inclusion of behavioural insights in policy. Notably, behavioural insights are not sufficiently known or acted upon by policymakers. Consequently
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patterns and forecasting future energy scenarios for a specific region for hydrogen. These scenarios feed into the energy optimization models you develop and solve. The goal is to identify factors
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multidisciplinary project aimed at characterizing the role of RNA structural ensemble dynamics in driving cell fate decision. Particularly, you will Develop novel methods for the mapping of RNA ensemble dynamics in