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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the
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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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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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flavour violating decays of b hadrons with data collected by the LHCb experiment at CERN. In addition, the successful candidate will contribute to the development of the next upgrade of the readout system
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experiment at CERN. In addition, the successful candidate will contribute to the development of the next upgrade of the readout system and thus to preparing the LHCb experiment for future data taking
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and foster equitable decision-making? To answer this question, the research will explore areas such as the following: Characterizing human-AI collaboration for bias mitigation – Developing a conceptual
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internationally recognized research centre and gain valuable research experience at a top-ranked European university. As a PhD candidate, you will develop your own research project in consultation with
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candidate, you will develop your own research project in consultation with the supervisory team. You will conduct independent and original academic research and report results via peer-reviewed publications
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fail to reach those most in need. To develop equitable and effective policy tools, further research is needed on the contexts, compositions, and mechanisms of retrofits, as well as a deeper understanding
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transition. International research echoes this concern, noting that retrofit programs frequently fail to reach those most in need. To develop equitable and effective policy tools, further research is needed