12 maynooth-university-programmable-city-project Postdoctoral positions at Utrecht University in Netherlands
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critical university heritage within the EU-HORIZON-funded project “Colonial Legacies of Universities: Materialities and New Collaborations” (COLUMN). Your job In recent years, universities and museums across
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insights to predict such attitudes. This project investigates drawbacks and potentials of Big Data in SAE to measure attitudes towards LGBTQ+. Your job The Department of Methodology & Statistics invites
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physical models. However, to achieve reliable results choosing the right methodology and training strategy is a large scientific challenge. Your job In this project, we aim to apply deep learning techniques
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critical and constructive argumentation. As an postdoctoral researcher, you will actively collaborate with the other researchers of the Vidi project based at Utrecht University, present at international
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2025 Apply now For the NWO-funded Vici-project 'Care and Coercion. Patriarchy, (Forced) Labour and Caregiving in the Household in the Dutch Empire, c. 1750-Present', we are hiring three postdoctoral
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science
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candidates. We offer an exciting opportunity to contribute to an ambitious and international research programme within a highly motivated team, and to conduct your work at a renowned research university
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the Utrecht University Development Programme. As a postdoctoral researcher, you will play a central role in advancing marine mammal health research. Your main tasks include: co-designing and co-leading
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling