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to improve healthcare efficiency and sustainability. In this research hybrid simulation model will be developed. This model should combine individual- and system-level elements. The main aim is to evaluate and
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group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, indexes for interactive data analysis
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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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racialization, heritage negotiation, and governance shape urban experiences. Employing ethnographic methods and discourse analysis, the study focuses on France and/or the Netherlands while remaining open to other
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ethnographic methods and discourse analysis, the study focuses on France and/or the Netherlands while remaining open to other geographical contexts. By emphasizing the global-local nexus, it seeks to uncover how
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& Research (WUR) and outside our organization. Your qualities you have a MSc/PhD in analytical chemistry, organic chemistry, food chemistry or comparable specialization. Knowledge of instrumental analysis
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use A mixed-method approach is encouraged, and candidates may propose methodological strategies that align with their research interests, such as ethnographic fieldwork, digital media analysis
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. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in the environmental impact of IT systems. You can extend these data flow diagrams
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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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related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific