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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease. The successful applicant will join an
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focuses on Sonic Efficacy in Global Southern Asia. Sonic efficacy in global Southern Asia employs immersive ethnography and participant observation, sound studies and sensory anthropology methods to pursue
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methods for subsurface sensing and characterization. -Present research outcomes at conferences and contribute to peer-reviewed publications in geophysics and computational science. -Collaborate with team
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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essentially new methods to automatically verify cyber-physical systems. Because none of the existing methods and tools for the formal verification of cyber-physical systems are fully automatic, these methods
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experimental methods, analyse data and present results within the framework of the project;Write progress reports, participate in group meetings, publish research findings in scientific journals and present
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Analyze and assess risks of de-anonymization, including researching current de-anonymization strategies Investigate synthetic data generation methods and their utility Deploying and benchmarking the above
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to the air. This project aims at developing analytical methods and capacity to sample and quantify volatile PFAS compounds and air emissions from Danish landfills and treatment plants. The project is carried
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methods, and contribute to high-impact publications. Responsibilities also include presenting research at national and international meetings, with ample opportunities and mentorship for career development