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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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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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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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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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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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, 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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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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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
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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