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biostatistics. Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied
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cross-university and cross-disciplinary collaboration investigate the future of intellectual property in the light of current developments within generative AI. This postdoc will primarily work in the
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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Engineering and Management. Much of the research is carried out in close collaboration with industry and with national and regional organisations. Research in electrical engineering is currently conducted in
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- Physics-informed foundation models for autonomous navigation, where learned models account for the robot's dynamics and the physical properties of the terrain - Multi-robot collaboration over mesh networks
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models for autonomous navigation, where learned models account for the robot's dynamics and the physical properties of the terrain - Multi-robot collaboration over mesh networks, with shared mapping and
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experience in developing and simulating both spiking and non-spiking neural networks with local learning rules. It is commendable if you have good collaborative skills and can demonstrate examples of your
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advances the frontiers in quantum technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations
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patients with pancreatic cancer and other aggressive tumor types. The work includes statistical modelling, machine-learning and systems biology approaches to identify drivers of metastasis and treatment