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fungal abundance and diversity in large-scale biodiversity experiments. Co-supervising PhD students, particularly supporting them with molecular and fungal expertise. Leading and supporting the development
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on “Personalised healthy diets through data sciences and artificial intelligence”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine
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alkaloids of Adalia and other ladybird species. Conducting analytical work using GC-MS and LC-MS, and potentially supporting field-based data collection. Supervising undergraduate and graduate student
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coordinator and 3 PhDs. The postdoc will work in the Netherlands (Groningen) but might spend a brief amount of time in Spain for fieldwork (to collect data). The Postdoc Project You will work individually on
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and host quality on disease risk. Applying molecular techniques to quantify fungal abundance and diversity in large-scale biodiversity experiments. Co-supervising PhD students, particularly supporting
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10 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Materials engineering Engineering » Nuclear engineering Researcher Profile
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subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other
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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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experimental data, our ability to develop predictive models for the properties and long-term performance of reactor materials is also limited. This position is part of the MAGIC-RR project (Materials Ageing and
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, you will design, synthesise and test adsorbent materials, such as metal-organic frameworks, for the separation and flexible buffer storage of CO2. This research is part of the large consortium project