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part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One Postdoc will be involved in the newly funded project
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-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous
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tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning and scientific method and software development
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modifications. The PhD project concerns the development of sulfatases for novel enzyme-based seaweed polysaccharide modification reactions and notably concerns the production of robust S1 sulfatases. The
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infrastructure condition assessment Damage detection and software/application development for structural assessment The doctoral degree will be awarded upon successful completion of advanced doctoral
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the following topics: Development and implementation of mixed mode traction-separation laws (from experimental data) into cohesive zone models in finite element software (e.g., ABAQUS) Fracture
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develop sustainable solutions to global challenges in Switzerland, Singapore and the surrounding regions. Set in Asia, in a rapidly urbanising region, the Singapore-ETH Centre aims to provide practical
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product development, real-world data and evidence, regulatory science, medical device and pharmaceutical policy, global health, and the intersection of scientific and regulatory advancement with broader
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secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value