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footprints and enhanced functionality. As a PhD researcher, you will: develop and validate high-throughput experimental methods to assess food ingredient functional properties; apply machine learning
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PhD candidate, you will explore key biogeochemical drivers of microbial methane removal in coastal systems such as estuaries, bays and fjords. Eutrophication and global warming are increasing
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variability. In this PhD project, you will develop and apply cutting-edge analytical chemistry techniques to tackle this challenge. Using both targeted and non-targeted liquid chromatography–mass spectrometry
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We are looking for two PhD candidates for a project within the Doctoral Network “MonaLisa”, a consortium of 20 partners composed of high-profile universities, research institutions and companies
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Apply now The Faculty of Science / the Institute for Biology is looking for a : PhD candidate Genomics and Functional Genetics of Temperature-dependent Egg Development Time in Insects. Vacancy
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Vacancies PhD Candidate in Explainable AI for Earth Observation Key takeaways With the growing integration of Artificial Intelligence (AI) in geospatial decision-making processes, ensuring
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Secure Computation Technologies and Applications to Machine Learning
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developments in this field. The PhD candidate will do original research in this field under the direction of one of the faculty members in the group. The candidate will be comfortable using mathematical tools
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Vacancies PhD Position: AI-assisted EEG Monitoring in the ICU Key takeaways Continuous EEG (cEEG) monitoring is essential for managing patients in the intensive care unit (ICU), especially after
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PhD position on past, present and future global inland-water methane budget Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline