97 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Groningen
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decision-making, you will have the opportunity to develop your own insights, collect data, and share your findings with both scientific colleagues and partners from professional practice worldwide. Under
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-peptide drugs for therapeutic intervention. (3) Prof. Clemens Mayer (https://mayerlab.nl/ ) leads the Molecular Evolution Group at the University of Groningen and will tackle a project on making the
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Eindhoven and will lead a project on designing potent cyclic-peptide drugs for therapeutic intervention. (3) Prof. Clemens Mayer (https://mayerlab.nl/ ) leads the Molecular Evolution Group at the University
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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. This research project focuses on developing the atomistic models that can provide such predictions. The successful candidate will be supervised by prof. dr. Francesco Maresca, chair of the Mechanics of Materials
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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