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pursue your work in collaboration with others. An important feature is to quickly familiarize yourself with complex data sets, as well as perform advanced statistical analysis. Below is a list of
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. The credits can be in ecology, engineering, earth and environmental sciences, hydrology, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required
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, conventional and genomics-driven plant breeding methods as well as genomics and molecular markers. A well-developed understanding of how to use various statistical software applications for data analysis is
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and Skills Essentials PhD in animal breeding, statistical/computational genetics/genomics or related fields. Demonstrated strong analytical skills and a minimum of four years’ experience with genetic
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The Department of Forest Resource Management conducts research and teaching within the subject areas of Forest Remote Sensing, Forest Inventory and Sampling, Mathematical Statistics Applied
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, bioinformatics, multivariate statistics and writing scientific papers will also be important components. In parallel to the scientific work, the candidate will follow the PhD education at SLU and the employment is
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The Department of Forest Resource Management conducts research and teaching within the subject areas of Forest Remote Sensing, Forest Inventory and Sampling, Mathematical Statistics Applied
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, Mathematical Statistics Applied to Forest Sciences, Forest Management Planning, and Landscape Studies. The Department is responsible for several environmental monitoring and assessment programmes, including
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of fish Experience in data management and statistical analyses Experience of writing scientific texts Experience in analysing videofilms Experience in DNA analyses and bioinformatics Driver's license for a
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. Experience in using molecular techniques, bioinformatics and statistics will be an advantage. The candidate should also have good communication and writing skills in English. The application must include a