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with a systems biology approach in which we will investigate whether the immunological changes in young and elderly are characterized with changes in the gut microbial composition. Currently big data
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on 01.09.2025 a gross salary up to 65% E13 TV-L. Accommodation in IPK guest house (on request) If you need further information feel free to contact Prof. Dr. Hannah Schneider Tel.: +49 (0) 39482 5506. What you
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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and professionally through a large variety of courses, training opportunities and conferences. Radboud University is an equal opportunity employer, committed to building a culturally diverse
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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
also supervised by Prof. Dr. Jana Sillmann, who is co-leading the Research Unit for Sustainability and Climate Risks (FNK). This Research Unit is devoted to inter- and transdisciplinary research and
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Alexis Laurent (DTU Sustain, alau@dtu.dk ), Prof. Tine Rask Licht (DTU Food, trli