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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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October 2025 Apply now The Department of Earth Sciences is looking for a highly motivated postdoctoral candidate with a background in numerical modeling (DEM, FEM, BEM). Your job You will work on the
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and (PBPK) modeling to understand the biological underpinnings will be used. You will work on a highly multidisciplinary project that aims at the development of ‘fit for purpose’ immune therapy PET
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crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
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for Affordable Housing Development project, you will be responsible for developing digital design tools and systems that support modular housing workflows. This includes plugin development for parametric modeling
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availability of data and connectivity through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient
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Vacancies Postdoc Position: Multi-Modal AI for Early Detection of Liver Cancer Key takeaways You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and
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on the context. To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception. This is a full
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abandoned gas fields that are potential storage sites. Robust screening procedures are necessary to select the most suitable reservoirs in terms of geology. Using advanced geological modelling and numerical
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical