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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Statistics at Umeå School of Business, Economics and Statistics (USBE) is looking for a PhD
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registers that can be used for population-based research, and a combination of these will be used for the project. The work includes literature reviews, database management, statistical modelling, and the
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the field and in the lab) and developing scientific publications. We expect them to be pro-active and take own initiatives. Good numerical and statistical skills and some previous experience in molecular
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: Analyze spectroscopic and kinetic data, employ statistical and machine learning approaches where relevant, and contribute to manuscripts, presentations, and reports. Collaboration: Work closely with project
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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, statistical data analysis (e.g., linear models, linear mixed models, genomic prediction, genomic association studies, etc.), analysis of genotype and DNA sequence data, simulations programming/scripting
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include animal breeding, population genetics, genetic diversity, statistical data analysis (e.g., linear models, linear mixed models, genomic prediction, genomic association studies, etc.), analysis
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statistics, cognitive science and innovative programming. Read more at https://liu.se/ida You will be funded by and will join ELLIIT (Excellence Center at Linköping–Lund in Information Technology), a research
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associated analysis. Knowledge of various techniques/instruments such as ICP, UV, etc. Experience of statistical analysis of experimental results. Experience of using various software programs such as Matlab