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, conference presentations, and ultimately a PhD dissertation. The PhD thesis is to be completed within four years. You are also requested to teach. You will work with the following supervisory team: Dr. Frank
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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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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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(LLMs) and state of the art methods in NLP. Has a demonstrable interest in misinformation countering or climate communication. Is willing to acquire knowledge of Social Network Analysis methods and
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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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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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(Intercommunale Leiedal in Flanders). This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The PhD Project For too long, discussions
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score of at least 237 on the computer-based form of the Test of English as a Foreign Language (TOEFL); or A score of at least 92 on the internet-based test of the Test of English as a Foreign Language
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of English. Reading proficiency in relevant modern languages (e.g. German, Italian, French) or ability and willingness to acquire it. Excellent communication skills. Willingness to move to/reside in Groningen
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of this project, the theme of sustainable behavior change is central. We are genuinely open and curious to learn how applicants see themselves contributing to this project. We invite you to make a case for how your