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brain development and in combining experimental and computational approaches to study developmental mechanisms. Experience in either advanced stem cell-based modeling or transcriptomic data analysis is
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… Requirements Specific Requirements You hold a PhD degree in ecology, environmental science or another field related to the topic. You have experience in systematic data collection, statistical analysis with
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skilled in object-oriented coding (preferably Python) and data analysis; affinity with machine learning and explainable AI techniques, preferably in a geoscience context; good social skills. As a university
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at the University of Amsterdam and will lead the development of advanced computational data analysis methodologies. Your primary goal is to connect different levels of the degradation pathway to the parent molecule
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sciences, such as cellular EM, volume EM, or cryo-EM. A solid understanding and proven expertise in Python and the use of computational techniques, preferably neural networks, for data analysis and
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team of meta-scientists and Open Science researchers and will play a central role in all stages of the project—from conceptual development and data collection to analysis, stakeholder engagement, and
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the analysis of longitudinal data, high-dimensional data, and/or causal modelling; affinity with the topic, and preferably experience with cohort studies, respiratory health outcomes, and/or air pollution and
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15 Apr 2026 Job Information Organisation/Company University of Twente (UT) Research Field Chemistry » Applied chemistry Chemistry » Physical chemistry Physics » Applied physics Physics » Condensed
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19 Apr 2026 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences » Agronomics Agricultural sciences » Soil science Researcher Profile Recognised
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at an unprecedented scale. Building existing infrastructures from, for example ODISSEI, the project centers around the analysis of population-scale datasets with advanced computational tools. By bringing together data