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activities Collaborate with researchers across Denmark and Europe in an interdisciplinary environment Help coordinate project efforts across En’Zync partners, including DTU, Aarhus University, the Danish
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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-mortem and fractographic analysis Collaborating with colleagues at DTU Energy and industrial partners to improve the reliability of SOEC stacks Publishing your research results in relevant peer-reviewed
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multidisciplinary team will work in close collaboration with the Francavilla-led team at the University of Manchester, UK, and with several scientists with diverse background in Denmark and abroad. Dr Schoof’s team
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the disparities. While foundation models offer great promise for creating more robust machine learning models for a wide array of tasks, it remains an open problem how to foresee their biases across that wide array
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and exciting environment with plenty of opportunities for collaborations. In your role as a postdoc, you will focus on the formal verification techniques for process models, and the application
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using different materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within
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support society's need to regulate fishing. The section is internationally recognized and has a strong collaborative network within the development of fisheries technology. We offer a rewarding and
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for computational biology and a track record of excellence in graph machine learning and multi-omics data integration? Look no further – an exciting Postdoc opportunity awaits you at the Novo Nordisk
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using probabilistic methods. You will collaborate with domain experts across transport modeling, machine-learning, and policy design to ensure scientific and practical relevance. You will contribute