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Field
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning
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information about the procedure, please contact Jouke van Oostenbrugge, Corporate recruiter via recruitment.ssg@wur.nl . Ready to apply? Click on the application button next to the vacancy on our website. Only
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to that data will be strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working
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strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, please apply by
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metabolism. Our lab focuses on understanding the biology of inflammasomes - proteins that regulate processes during infection and inflammation. You will work on exciting projects exploring how lipids in cells
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for Studying Metabolic Plasticity (ECR 5) For further information please visit: https://www.umg.eu/en/potenziale-entfalten/ecr What we offer: Generous support (your own position, a postdoc (1.0), a PhD student
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measuring stand for the collection of hyperspectral data on a test field Collection of imaging data and creation of a database Establishment of a data processing routine for pre-processing the hyperspectral
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis