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learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated
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on terrestrial ecosystems in its new range. This project will investigate dispersal and distribution of pink salmon carrion and its effect on vegetation communities in coastal tundra ecosystems in northern Norway
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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
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foundation, strong learning and research abilities, communication skills, excellent academic performance, outstanding work achievements, and strong potential for development Be under 35 years old (at 1st
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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and operation of plasma devices—such as tokamaks and linear plasma systems—is also essential. In this role, you will lead plasma heating experimental research at DTU using RF and microwave technologies
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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duties. For admission requirements and regulations, please see our web page . Proficiency in Norwegian or another Scandinavian language is considered an advantage. The thesis may be written in English or
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work. Ability to speak Norwegian or another Scandinavian language will be an advantage. If the candidate does not document proficiency in Norwegian, Swedish or Danish at level A2, then the doctoral
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource