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businesses, governments and NGOs. For example, the group works together with public and private sector on developing a harmonized standard to put an environmental score on every food product in Europe
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expertise in theory-driven empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social
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field Strong interest in multiscale neuroscience and translational research Experience with MRI analysis (preferably in rats) Skills in data analysis, programming, and quantitative methods Interest in
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assessment and certification framework, leveraging multiple data sources and probabilistic reliability analysis to predict both current and future safety levels. This project contributes to designing future
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-processing, analysis, and interpretation to gain new insights into brain clearance. • Collaborate with clinicians, engineers, and physicists to translate technical innovations into clinically applicable
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sources and probabilistic reliability analysis to predict both current and future safety levels. This project contributes to designing future standards and safer vertical transport. Information
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, epidemiologists, clinicians and lab researchers, with expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis
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of the estimand framework and target trial emulation can improve the design, analysis, and interpretability of observational studies for clinical and regulatory decision-making. Your job In this PhD project, you
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, and study how they interact. To achieve this, you will combine electrophysiological techniques, such as patch-clamp analysis and optical mapping, with molecular approaches using human and animal disease
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Help us pioneer gravitational wave probes of dark matter. Do you want to work at the interface of general relativity, cosmology, and data analysis, and help build the tools that will make dark