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productivity and sustainability in livestock populations. In this PhD project, you will contribute to developing accurate and unbiased genomic models for large-scale within-population genomic evaluations
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observation technology for problem-solving. Problem-solving means primarily the identification of solutions for large-volume producers of geo-information and the identification of solutions for application
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consequences for their functioning. The aim is to address the existing gap in systematic, large-scale research on this issue. Your job Associations have played a major part in various periods in Western European
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AI-driven FAIR data extraction and harmonization By converting clinical notes and cohort variables into standard coding systems you will help create sufficiently large datasets for automated analysis
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disclosure on this topic. For instance, as of 2024, the European Corporate Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project
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aim to improve prediction and prevention of HF. Our aim is to better classify and mitigate the risk of CVD, in particular HF. Through access to large population-based cohorts data, we seek to identify
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and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In this position you will work with real world data and models, aimed
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explore how brand narratives evoke emotions, build relationships, and influence consumer decision-making. By leveraging insights from behavioral science (psychology), data analytics, and AI-driven
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are interested in retaining donors and increasing donations. Though the topic of charitable giving has been studied a lot in the past, there is ample room for research focused on dynamics, long-term effects, large
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Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project aims to examine how various stakeholders affect the CSR challenges firms