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Field
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
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collaboration to advance climate adaptation and flood resilience in tidal estuaries. BONSAI is a project within the EU programme Interreg North-West Europe that aims to enhance flood resilience in tidal estuaries
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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23 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Programming Researcher Profile Recognised Researcher (R2) Country Netherlands Application
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Introduction Are you interested in contributing to the future of regenerative farming, food systems and finance? Do you want to explore how the concept of integrated value (‘brede waarde’) can help transform