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processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballot using the STV method. Our first point of
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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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/learning based techniques in the areas of robotics, or autonomous systems, • interested in autonomous systems and signal processing, • Keen to work with equipment and embedded
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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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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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understanding the process? Visit our scholarship guide Application How to apply There is a two-stage application process. Before applying: Find a Potential Hosting Supervisor (Recommended this to be done before
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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contribution to co-operation within the network. The tasks listed are not exhaustive and further activities and tasks may arise in the course of the doctoral thesis in order to achieve the research objectives
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flexible alternative. Thanks to their significant thermal inertia and ultra-low-temperature operation, DHCNs can absorb surplus renewable energy, respond to market signals, alleviate grid stress, and provide