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structural technologies, this PhD position offers a unique opportunity. Join MET2ADAPT to engage with some of the most challenging and high-impact questions surrounding next-generation wind and wave energy
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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the electrical-thermal-mechanical behaviour of different integration and packaging technologies and to assess their impact on system performance and circularity trade-offs, including design optimization. Proof
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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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, including design optimization. Proof-of-concept validation through hardware prototype development and testing is expected as part of the project. The position is offered in relation to the project “CirclePE
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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, especially in the rapidly advancing fields of meta-materials, renewable energy systems, and intelligent structural technologies, this PhD position offers a unique opportunity. Join MET2ADAPT to engage with
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specifically you will be involved in assessing the dietary intake of iron and zinc in human volunteers eating either a habitual Danish diet or an optimized meat- or plant-based diet. Furthermore, you will be
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of these findings into future dietary intake estimates. This work will involve the use and optimization of advanced analytical tandem mass spectrometry methods, assessment of vitamin D bioaccessibility using an in
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the shift from the robust architecture of radio-TV transmitters and receivers to the far more complex and fragile structure of ‘over-the-top’ (IP-based) media delivery. The project will model optimal