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Job Description Kickstart your research career with our interdisciplinary PhD project on operating local energy systems to enhance the resilience of electrical grids. We invite you to join our
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leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience engineering, and smart technologies. Its
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leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart
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institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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and protocols for assessing fish welfare and resilience and will explore strategies to mitigate welfare risks and promote positive welfare outcomes in fish farming scenarios. You will work with nearby
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systems, and husbandry practices. This Ph.D. position aims to gain new knowledge on fish microbiome-health & welfare dynamics, the development, stability, and resilience of microbiomes and performance and