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. You will work here This research is embedded within four research groups, at Wageningen University and Utrecht University: the Centre for Crop Systems Analysis (WU-CSA), the Laboratory of Cell and
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embedded within three research groups: the Centre for Crop Systems Analysis (CSA), the Plant Production Systems Group (PPS) and the Biosystematics Group (BIS), with supervision by Prof. Jonne Rodenburg, Dr
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experience with scientific computing and data-analysis libraries, and familiarity with ML frameworks for molecular and materials studies. Experience with reproducible research practices, structured data
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and the Netherlands, the PhD candidate will include an analysis on infrastructure, policies, and planning in such a way as to contribute to the urban-ocean planning scenario co-designed with other
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understanding of plant-microbe interactions; demonstrable analytical and problem-solving skills; experience with data analysis using R; proficiency in written and spoken English; proactive and collegial working
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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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the set-up of the research, the selection of methods and theories, data collection, analysis, and output. Given the nature of the project, the researcher is expected to work closely with secondary schools
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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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or are willing to acquire the relevant skills during your PhD project. You have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able
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of social justice, development and inequality, and theories of care. You are trained in qualitative methods and analysis approaches. You have experience in collecting and analysing qualitative data, ideally