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to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre
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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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you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
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for High-Frequency Financial Time-Series Data Introduction Are you passionate about using advanced machine learning techniques to solve real-world problems in financial trading? Do you enjoy working with
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, possibly experimental, cases in the Netherlands and abroad. You will conduct a local analysis of the collaborative governance regimes in which market parties, governmental authorities and civil society
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affiliated with the Rudolph Agricola School for Sustainable Development, focuses on innovative approaches to data analysis and science communication. A PhD student at BirdEyes will gain expertise in cutting
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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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processing (e.g., baking), and identifying transformation and degradation products using high-resolution mass spectrometry (HRMS) and advanced data-processing tools. This project offers a unique opportunity to
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/nature conservation or a similar relevant field as mentioned above; Sound understanding of forest ecology and biodiversity; Experience or strong interest in big data analysis; Proficiency in programming
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given language. This question has practical implications, such as in compiler optimizations and decompilation for tasks like malware analysis. However, theoretical limits exist: languages lacking non