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administrations in improving the quality of their policy development. The project, entitled “Data Management and Impact Evaluations to Inform Policymaking on the Labour Market integration of Precarious Groups”, is
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-based models to study complex genetic architecture of neurodegenerative disorders. The candidate will approach this by: 1) using advanced Brain-on-Chip models to understand how genetic risk affects the
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of neurodegenerative disorders. The candidate will approach this by: 1) using advanced Brain-on-Chip models to understand how genetic risk affects the function of disease-relevant circuits and eventually use
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of psychosis, using Virtual Reality to examine, for example, the impact of childhood trauma and minority stress on the development of youth mental health problems. Both CCP and CCliPs are part of the Department
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work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
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hallmarks of disease, affecting cellular behavior, tissue organization, and mechanosensitive signaling pathways. Despite major advances, a quantitative and multiscale understanding of how molecular-scale
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. Contribute to high-impact publications and dissemination, including methodological papers, statistical frameworks, and open-source software development. This position is part of a recently funded, large-scale
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, timely reporting, and achievement of project milestones. Active involvement in grant writing, scientific presentations, and collaborative initiatives will be expected to strengthen the impact and
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allowance, eco vouchers, and other social benefits. The postdoctoral researcher will also have opportunities to disseminate results through international conferences, high-impact publications, and to further
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background, and socio-economic status), institutional and political structures (notably those related to young people and their transition to adulthood), and macroeconomic conditions that affect the skills