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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data
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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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(hereafter, large grazers) are also increasingly used in nature management. For a densely populated country like the Netherlands, this means that there are constant interactions between people and wild mammals
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from storms by large storm surge barriers such as the Oosterschelde and the Maeslant barriers. But: what is the role of these barriers in the future? There are many uncertainties about their long-term
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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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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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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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to be at C1 level .Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information can be found here . We offer you Wageningen