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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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the following areas: Air and surface sampling of fungi in buildings and on materials Basic statistical analysis knowledge (R or similar) and multivariate statistical methods Cross-disciplinary research
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publications and conference presentations, and contribution to the continued development of clinical workflows using user-operated audiometry. Expectations of qualifications Candidates must hold a PhD degree
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Help driving forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a main role in developing digital tools and methodologies
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PhD student in charge of the ex-vivo cell experiments to investigate autoreactive T cells in the blood cells from PD patients. You are expected to keep updated with the latest literature on multi-omics
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impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
refer to medical doctor, PhD, Helene Kildegaard and Professor Anton Pottegård, but he/she will also be expected to contribute to the whole research unit whose research areas span from pharmacoepidemiology
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PhD students. The department has close collaborations with the Odense University Hospital and its research covers a wide range of health-related topics and methodologies. The position and the project
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have academic qualifications at PhD level, for example within areas of epidemiology, health sciences, medicine or related field. Strong skills within applied statistics, R programming and experiences