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. Further issues come from climate change and the escalated geopolitical tension that can lead to the use of battle gases. The commercial sensors made by conventional electronics have intrinsic drawbacks, e.g
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models. Having enthusiasm in control and a good balance between theory and practice is essential. Good programming skills also support the development of digital twins, soft sensors, ML-supported control
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following topics: Hydraulic and pneumatic applications Machine components (e.g. bearings, actuators, sensors) Power trains (e.g. electro-mechanical, electro-hydraulic, hydraulic) Industrial machinery Your
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are looking for a skilled experimentalist who would perform technically challenging swimming force experiments with tiny living organisms using a micropipette force sensor (Backholm et al ., Nature Protocols
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would perform technically challenging swimming force experiments with tiny living organisms using a micropipette force sensor (see Backholm et al ., Nature Protocols 2019 https://doi.org/10.1038/s41596
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interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with
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systems with a particular emphasis on methods and systems that cope with imperfect knowledge and uncertain sensors. The research environment provides excellent opportunities for open-minded co-operation
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state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. You will collaborate closely with
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groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier