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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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small-scale nitration trials under controlled and safe conditions, analyse the resulting NC with the centre's analysis package and quantify the relationship between feedstock and NC properties. The work
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of stress; biotechnology and metabolic engineering; growth and development of plants; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species
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; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast
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written and spoken English. Meriting criteria are: experience with latent variable models or closely related statistical models; experience with change-point methods, text analysis, or scalable statistical
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(e.g. 4C, niche theory) to describe interactions between cultivated crops and their surroundings. The position means that you will be responsible for data analysis and scientific publication
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· Designing and performing experiments · Data analysis and manuscript preparation · Presentation of results internally and externally · Collaboration with other scientists
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, randomized controlled trials, and analysis of observational data. The research also includes methodological contributions related to consumer behaviour, preference elicitation, and decision-making under
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description