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, and performing data analysis. Contributions to the development of novel experimental designs for dark matter axion searches are also possible. Our group provides hands-on access to state-of-the-art
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build on ongoing developments in graph-based analysis of point cloud data and explore structured approaches to bone-wise alignment and rigid transformation estimation. The project combines methodological
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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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or cultural economics. Some knowledge of demographic methods, longitudinal data analysis, or life-course analysis is an advantage. Experience working with large datasets and conducting empirical research
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quantitative analysis to strengthen data-driven approaches in pharmaceutical and chemical research. The project forms part of CPDSE’s broader effort to advance computational and data-scientific methodologies
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degree or equivalent within Public Health, Medicine, Data Science or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, is
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decarbonization challenges at regional, national, and international levels. For more information about SDU LCE, please visit www.sdu.dk/lifecycle . Qualifications We are seeking a candidate with a master’s degree
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, or equivalent) in Public Health, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in
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across news outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people
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comprehensive training in translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong