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-related risks. Modeling energy systems presents numerous challenges, which become increasingly intricate when applied at urban or local scales due to spatial, temporal, and sectoral heterogeneities
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related discipline; Preferably, hands-on experience with the relevant techniques used in this project, including data analysis; A strong analytical and creative mindset, with problem-solving skills
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and
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adaptation), meaning that candidates are welcome to propose a specific topic of their choice, or pick from a variety of research topics advanced by the supervisor. The project will use a diverse toolkit of
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is the largest and most methods-focused medical statistics research group in the Netherlands, with a strong mix of theory and applied work, all motivated by data analysis challenges arising from real
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PhD Position on Modelling the Evolution of the Larsen C Ice Shelf Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 15 May 2025 Apply
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systems. These contracts have two desired features: they should i) be capable of expressing rich specifications; and ii) come equipped with a theory of compositional analysis that allows for translating
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sacrifice of silkworms, the cultivation of mulberry trees, and extensive water use, reshaping landscapes and ecosystems. Simultaneously, silk signified wealth and power, adorning royal residences and
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equipped with a theory of compositional analysis that allows for translating component-level specifications to system-level specifications. This PhD position will focus on the use of contracts