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experiments using magnetogenetics to selectively control neurons and astrocytes in Alzheimer’s disease models, in vitro and in vivo . Perform in vivo two-photon imaging, electrophysiology, and behavioral tests
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on advanced (nano)materials—particularly single‑atom materials (SAMs) on carbon platforms—and their interactions with relevant cellular models in nanomedicine and nanotoxicology. You will join an international
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) Cardiac development or disease. We are interested in applicants with strong interest in using the mouse as a model for human genetic diseases Research focus: Our lab investigates cell fate progression
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, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active
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and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials
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neurodifferentiation and cancer models. Candidates with strong interest in gene regulation, chromatin architecture, epigenetic mechanisms, and non-coding RNA biology are encouraged to apply. Experience in performing and
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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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(SDPs). You will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi