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a central research task in SFI Smart Ocean, and the work is strongly linked to other research and industrial partners in the centre. Wireless acoustic transmission of data from sensors to the network
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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acoustic transmission of data from sensors to the network has very limited bandwidth. To reduce the transmission requirement of data, onboard processing is therefore required in the sensors. This is
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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cultures; gain deeper insights into the biology of neurons. Develop academic skills such as effective scientific communication (written and oral), building collaborative networks and teaching. For example
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consumables, equipment, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Be You
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partner groups MPI Halle and Leiden University/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements
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University/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements: university degree in chemistry or physics and
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI