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the analysis. These logistics concepts must be resilient: robust, adaptive, and flexible. The research questions can be tackled by combining techniques from the domains of Integer programming, (Stochastic
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. In this project, you will study how this impacts the anaerobic removal of methane. You will use state-of-the-art techniques for sampling and analysis (e.g. benthic lander incubations, synchrotron-based
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management? Your work will combine theoretical analysis with real-world case studies to identify promising institutional approaches. You’ll evaluate current governance mechanisms, financial instruments, and
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do The primary objective of this PhD project is to provide an in-depth understanding of (lethal) violence against women in the Netherlands through a comprehensive analysis of existing and newly
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will also compile field methane measurement data from published literature and datasets for analysis and model validation. On this basis, we will quantify the spatiotemporal changes in global inland
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imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across
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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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in the northern part of the Netherlands were connected to their wider world. Central to the project will be the analysis of various ceramic assemblages with a wide scope of methods in order to
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling