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information, the results are dominated by the confined nature of the geometries that are used in the experiments: the channels have a large width-to-height ratio, making them essentially ‘2D’. This results in
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and/or social policy evaluation, and can: Carry out independent empirical research at a high academic level, from data cleaning to publication-ready analysis. Work effectively with large, complex
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interested in doing causal inference in policy-relevant research, and working with large administrative data. Job requirements We welcome PhD candidates who aspire a career in research. To become one of our
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Vacancies PhD position on attacks against large language models (LLMs) Key takeaways This project will investigate attacks on large language models (LLMs), a major recent development in artificial
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acute stress such as heart rate variability. You will help optimise our biofeedback algorithms and, after small N assessments, contribute towards setting up a large-scale trial to assess the efficacy
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19 Mar 2026 Job Information Organisation/Company Amsterdam UMC Research Field Environmental science » Global change Environmental science » Natural resources management Researcher Profile First
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. Rather than focusing on a single narrow research task, you will -together- play a central role in shaping the direction, collaborations, and outputs of a large, interdisciplinary research programme, taking
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for geospatial information with a view to establishing longer-term adoption and acceptance and EO-based information in large-scale operations; Together with the key partners and end-user communities
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drones and outdoor data collection with international teams, and have an interest in coding and handling large spatial and temporal datasets, this position is for you. This PhD offers the opportunity
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly