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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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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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Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have knowledge and experiences in using HecRas, SWAT and ArcGis Pro Experience in designing and
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Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine learning, and control is essential
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have one or more supervisors for support during your doctoral studies. However, you work independently to a great amount, e.g. by running statistical analyses and writing articles for journals. A half
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analysis, and greenhouse experiments. Analyse ecological and evolutionary data using appropriate statistical methods Collaborate with an interdisciplinary research team and contribute to group discussions
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Python for scripting and data analysis, metabolite ID via MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score
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MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score, volcano, heatmap, and correlation plots, either software
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and the ability to develop and conduct high-quality research relevant to the position. The applicant must demonstrate knowledge of statistical methods, documented experience of ethnographic fieldwork
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial