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challenges. This PhD project aims to advance the efficient, controllable, and optimized use of renewable energy by integration of advanced TES technologies (latent heat and thermochemical storage) in
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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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bridge between KTH’s expertise in early disaster risk detection (e.g., ignition risk mapping for wildfires) and DTU’s strength in AI-supported decision-making for safety-critical systems. Your work will
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the national center for nano- and micro-fabrication. We work in tight collaboration with a team of quantum nanophotonics theorists and a team of nanofabrication experts. We have established an effective in-house
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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, and resilience-centered approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising
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resilience-centered approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross
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of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators
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pavements that are subjected to moving, accelerating, braking, and turning wheel loads. The work will be carried out as part of the LOOPER project, supported by the Danish Energy Agency. The LOOPER project
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Job Description Is your ambition to be part of an international research group? Are you interested in conducting research in the field of public health and dietary patterns? Then, we want to hear