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We are looking for two PhD candidates for a project within the Doctoral Network “MonaLisa”, a consortium of 20 partners composed of high-profile universities, research institutions and companies
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interested in conducting mathematical research that combines its theoretical rigor and beauty with real-world applications, including climate and weather, the formation of opinions and neural networks
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in English, both written and spoken, with the ability to communicate complex ideas clearly; - who has experience with statistical programming (e.g., Stata, R); - who is motivated to study policy
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challenges for our power networks, as seen in the significant network congestion issues emerging in many regions of the Netherlands. In recent years, hydrogen has emerged as a significant energy vector, with
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. Proficiency in English, both written and spoken, with the ability to communicate complex ideas clearly. Experience with statistical programming (e.g., Stata, R). Ability to work collaboratively in a
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Application deadline: 15 May 2025 Apply now Are you fascinated by the complex ways our social environments shape health? Do you want to develop cutting-edge methods to measure social networks at a population
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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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experiments with herbivorous insects, plants and microbes Analysing complex data involving e.g. metabarcoding, metagenomics, and metabolomics Isolating and culturing microbes and testing inoculants on insect
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include: Designing and executing experiments with plants, microbes, insects and drought stress Analyse complex data sets involving metagenomics, transcriptomics and metabolomics Manipulate the soil
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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits