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. You will conduct statistical analyses of genetically informative data sets measured for phenotypes of direct or indirect relevance to psychiatry. You will have or be close to the completion of a PhD in
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appointed at Grade 6 (Research Associate) we are looking for someone educated to PhD level in a mathematical science or with substantial applied statistical methods (or with equivalent relevant work
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The position involves working with large national comprehensive population multi-register data collected from the Public Health Agency of Sweden, Statistics Sweden, the National Board of Health and Welfare
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comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data. Developing statistical
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
and experiments. Publish results in leading journals and conferences in related fields. Assist the PI in supervising PhD students. Attend international conferences to present the results. Job
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. Minimum Requirements: PhD in Bioinformatics, Biostatistics/Statistics, Statistical Genetics, or Genetic Epidemiology. Preferred Qualifications: Working knowledge of programming proficiency in R or Python
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their best work. The School of Mathematics and Statistics at UNSW is a leading research mathematics school in Australia and enjoys a strong international reputation: http://www.maths.unsw.edu.au/about/about
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: To support our research, we are looking for a student of economics, finance, or a related field. Main tasks include various analyzes and statistics based on microdata (register data). We therefore prefer
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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ecosystem resilience to climate change. The project This PhD project, funded by TUM, focuses on using state-of-the-art automated sensors, known as dendrometers, which are installed on tree bark to provide