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investigating the impact of environmental exposures on cancer risks in children, adolescents, and young adults (AYAs). The project will combine epidemiological data from population-based cancer registries in nine
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maintenance of neuroinflammatory processes and identify molecular targets that could serve as the basis for future therapies. To that end, we combine human studies with experimental (gnotobiotic) murine models
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change, climate change attitudes, and risk under environmental heat stress by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a
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(IREM) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies, IREM research focuses
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of gene dosage in regulating cellular function in male and female animals - from individual genes to chromosome-wide scales. We combine work in non-model organisms (like mosquitos or brine shrimp) with
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: The project aims to develop a novel mechano-Raman imaging platform to map mechanical deformation in polymeric materials with high sensitivity. By combining the design of vibrational force probes with advanced
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combining behavioral measures with neurophysiological processes, using electro-encephalography (EEG), functional near-infrared spectroscopy (fNIRS), and eye tracking.
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material properties. Finally, the two technologies will be combined to create integrated devices. The industrial partners will provide application-specific use cases, environmental testing expertise and
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of ionic species and a broad range of inorganic analytical methods to support fundamental and applied battery research. This unique combination of expertise and instrumentation enables cutting-edge
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aiming to enable the next generation of explainable, data-efficient and safe AI systems. Our research investigates how the combination of latent and explicit data representation paradigms can deliver