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- Leiden University; Published today
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- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); yesterday published
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- University of Amsterdam (UvA); Published 22 Nov ’25
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Field
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of data scientists, data engineers, software developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients
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2-year fellowship No teaching requirement Post-doctoral research based at Tilburg University with authorized access to world-class Statistics Netherlands (CBS) microdata Conduct research in
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planned studies. This includes protocol development, data management, statistical analysis, and dissemination of findings through conferences and scientific articles. This role offers a unique opportunity
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happens in source areas is also essential for interpreting developments in nature reserves. You will be responsible for: statistical evaluation of air-quality monitoring network designs, including
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. You will be responsible for: statistical evaluation of air-quality monitoring network designs, including optimisation of monitoring density for trend detection and model validation; comparison of ground
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interventions. Flexible hybrid working is possible: data analysis and statistical work can be done remotely, with regular on-site meetings for team collaboration and integration with clinical and imaging experts
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Do you enjoy using statistical approaches to study biological problems? Are you interested in developing and applying computational methodologies to investigate plant-microbiome-interactions? We
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developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore
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of root-microbe interactions in forming stable soil organic matter in different soil types and under future climate scenarios using a range of different approaches, and in collaboration with Statistics
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types and under future climate scenarios using a range of different approaches, and in collaboration with Statistics Netherlands (CBS), Eurofins, Amsterdam Green Campus, and Lawrence Livermore National