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Field
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academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Senior Researcher in Ecosystem based marine management, nature restoration, and anthropogenic imp...
We are seeking a senior researcher that is expected to work maximum 10 hours per week and with experience within the research areas anthropogenic impacts on ecosystems and ecosystem-based management
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formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition
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with partners, governments and knowledge organisations. Our first hubs are in Singapore, Ghana, the USA and India. Imperial Global Singapore is the first research centre of this network. Here, you will
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techniques to secure networked computing infrastructures; Data science and statistical analysis; Security of distributed systems; National and international regulations related to cybersecurity. Very good
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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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; the advent of the Solar System internet and the associated challenges in network management and operations concepts, for example, new forms of user-machine interfaces, such as AR/VR; new ways to leverage
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-modal foundation models, including SciFM architectures coupled to knowledge graphs, GPU-accelerated PyTorch training pipelines, distributed training on HPC systems, and tools for training diagnostics and