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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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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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, stakeholder alignment, and innovative business models that promote multi-value creation. You will investigate how long-term visions and transition paths can be shaped with partners, how startups and SMEs can be
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biology and nanoparticle-cell interaction studies, or vice versa students from cell and molecular biology, pharmacy, or a related discipline who are willing to learn basic principles of nanoparticle
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dedicated Master's program in Ecology and Evolution that offers extensive fieldwork opportunities. Furthermore, the university-wide Rudolf Agricola School for Sustainable Development engages FSE members in
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for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative