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and molecular techniques; Experience and knowledge in data analysis with, R-studio, GraphPad, Cytoscape; Excellent communication skills in English (both oral and written) at C1 level. You are socially
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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 to policy practices. More information on the group can be found here. . The PAP group actively collaborates with neighbouring groups in the Wageningen Centre for Sustainability Governance , which
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independently and be self-reflective; a good knowledge of (pharmaco-)epidemiologic methods, including those used in a cohort or case-control design. practical experience in working with big data in healthcare
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, and our goal is to generate knowledge that supports both animal dignity and economic viability. We use innovative technologies such as sensor technology, big data analytics, AI, and microbiomics. Most
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, with the aim of contributing knowledge that supports both ethical and economically viable animal farming. We employ innovative technologies such as sensor technology, big data analysis, AI, and
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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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agriculture to function well within the landscape. In this PhD, existing monitoring network data and locally collected field data will be available for the modelling work, in addition to freely available
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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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come together. For more information, see Faculty of Science and Working at Leiden University Mathematical Institute The Mathematical Institute (MI) is one of the eight institutes within the Faculty