93 algorithm-development-"Multiple"-"Prof" positions at University of Groningen in Netherlands
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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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temporarily, as needed, when needed. The goal of this project is to advance the understanding of how working memory is implemented in the human brain. To this end, the main objective is to develop a neural
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Organisation Job description Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio
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PhD positions in ML-guided directed evolution (3.0 FTE) (V25.0085) « Back to the overview Job description Are you passionate about combining the directed evolution of diverse biomolecules with deep
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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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PhD position Development of interatomic potentials for Green Steels (1.0 FTE) (V25.0229) « Back to the overview Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal
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-research-projects-awarded-through-open-competition-domain-science-m-programme ). Responsibilities and tasks: Development of novel electrocatalysts for N2 fixation. Fabrication of single cells with targeted
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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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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