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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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POSTDOCTORAL RESEARCHER POSITION IN ECOLOGICAL STATISTICS We are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
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of the job requirement scheme for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance
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universities. In addition, the appointee will be paid a salary component based on personal performance. The annual gross salary is €42,000 - €46,000. There will be a six-month trial period for the position. How
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accordance with the university’s salary system for teaching and research personnel. It consists of a task-specific salary component and a personal performance salary component. The individual salary component
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traits – and link these traits to epigenomic variation profiled via whole genome bisulfite sequencing. The candidate will also have the opportunity to explore advanced pangenome-based methods to probe
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determined in accordance with the university’s salary system for teaching and research personnel. It consists of a task-specific salary component and a personal performance salary component. The individual
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a doctoral degree in demography, public health/epidemiology, statistical sociology, statistics, population genetics or other relevant field, have strong quantitative methods skills and an excellent
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: Strong programming skills in R for data analysis and visualization, and proficient in Unix command line environments for data processing Single-cell omics Methods to study chromatin interactions such as Hi