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Field
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can be defined as the westernmost part of the well-studied Frisian-Drenthe Plateau (FDP). While the FDB at large is a region of which the prehistoric occupation history is well known, most information
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learning; eager to gain further expertise in bioinformatics and the analysis of large 'omics data sets, including metagenomics and transcriptomics and advanced AI methodologies; interested in phenotyping
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of biological diversity. You will learn to handle large-scale genomic datasets and become an expert on state-of-the-art bioinformatics methods to analyse them, including command-line work, programming, and data
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been protected 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? As a PhD candidate in this project
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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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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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you like to study physiological responses of pigs fed on a large variety of by-products? Do you have the organization and communication skills to effectively work in a scientific-lab setting yet
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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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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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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