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Field
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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, palaeoclimatology, micropalaeontology and
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vivo evaluations using soft-tissue models to simulate gastrointestinal navigation and refine the system’s interface and functionality based on clinician feedback. Contribute to preclinical deployment
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by fostering large-scale, interdisciplinary collaborations through an original and collegial organizational model. They aim to stimulate novel collaborations and contribute to the emergence
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for levitated systems — from gas sensing to probing physics beyond the Standard Model. You will join a diverse, motivated, and supportive team of academic staff and students in Delft. We foster an inspiring and
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! With your work, you will expand the family of quantum sensors and open new applications for levitated systems — from gas sensing to probing physics beyond the Standard Model. You will join a diverse
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data Design algorithms for correlating low-level events into process-level attack models Contribute to joint framework development with TU/e on continual learning Collaborate with industry partners
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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Join the Laan Lab at TU Delft to unravel the mesoscale physics of how cells maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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develop novel approaches that integrate uncertainty estimation and confidence-aware predictions, enabling models not only to classify species but also to quantify their reliability. Such methods are crucial