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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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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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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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disorders, older adults, psychometrics, epidemiology, and clinical psychology. The Department of Psychology is a vibrant, inclusive workplace hosting an engaged group of faculty, postdocs and PhD students
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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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here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork