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well as localization of targets or signal sources in passive-sensing settings. This is central to future 6G wireless communications applications, where radio-frequency sensing and data transfer (ISAC) are integrated
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include cognitive and adaptive spectrum use as well as localization of targets or signal sources in passive-sensing settings. This is central to future 6G wireless communications applications, where radio
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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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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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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
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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. As a Postdoctoral researcher, you will
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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will
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training Collaborate with space technology researchers on system integration and testing Your network and team You will work in the Integrated Photonics research group and collaborate closely with Aalto's
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits