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. The successful candidate will join an interdisciplinary research team comprising molecular biologists, bioinformaticians, physicists, and pathologists. The project aims to develop a biophysically interpretable
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interdisciplinary team of molecular biologists, bioinformaticians, physicists, and pathologists to develop a biophysically interpretable machine learning model that integrates diverse biological data—including
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of Norway. The successful candidate will join an interdisciplinary research team comprising molecular biologists, bioinformaticians, physicists, and pathologists. The project aims to develop a biophysically
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interdisciplinary team of molecular biologists, bioinformaticians, physicists, and pathologists to develop a biophysically interpretable machine learning model that integrates diverse biological data—including
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, moisture ingress, snow and ice, and high traffic demands accelerate degradation and increase maintenance needs. This PhD project will develop and validate railway sleepers made with UHPC. The work may
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railway infrastructure, where repeated temperature fluctuations, moisture ingress, snow and ice, and high traffic demands accelerate degradation and increase maintenance needs. This PhD project will develop
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at Blindern, Oslo. Job description This PhD position is funded by the Research Council of Norway through the project EEIwarm, which seeks to better understand the acceleration in global warming in recent years
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battery strategies and future applications from a business and innovation perspective. CREDS’s overarching academic objective is accelerating research on the transitions enabling sustainable businesses and