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of DNA damage on RNA polymerases in living cells. This project will provide important molecular insights in how DNA damage affects Pol II and interferes with the transcription process, thereby improving
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economic implications of AI adoption in the technical industry. This PhD position focuses on the legal challenges technical industry is encountering when adopting AI in its processes. The successful
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of the viral infection cycle, such as attachment, entry and release of the host cell. Since these processes take place at the cell surface, we are also actively studying the archaeal cell surface and surface
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, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden University by
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relationships, shape our thought processes, and, importantly, guide our behaviors. This PhD project focuses on evidence-informed educational innovation. Using a solid theoretical foundation for CLMA, it will test
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records, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues
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feedbacks and system dynamics. The meso-scale (e.g., river basins or landscapes) is where these processes intersect, yet, this scale remains underexplored in sustainability science. This PhD project will
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symmetric cryptography algorithms. Winners of the standardization processes sponsored by the U.S. National Institute of Standards and Technology (NIST), they are currently adopted by the U.S. and the European