14 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions at University of Groningen
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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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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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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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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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. 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
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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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. Particularly, you will Develop novel methods for the mapping of RNA ensemble dynamics in living cells. Identify regulatory RNA switches involved in cell fate determination using both cancer cell lines and