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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
structures resulting from microphase separation. The overall focus of the project is to study how the detailed structure and chemistry of the individual blocks A, B and C influence the nano-scale self
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analysis utilizing methods rooted in artificial intelligence (i.e. machine learning and deep learning). The analysis will be the basis for developing a predictive model to help select the most optimal method
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applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
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systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine fieldwork in real-world architectural settings with human
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behavior and over molding flow Implement in situ process monitoring and analyze real time sensor data Optimize processing parameters using modelling and data driven approaches Validate models through
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of exploiting the synergies between different research disciplines and technologies. You will be part of an endeavour to optimize and boost innovation and advance the scientific area of biomedical and neural
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regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine
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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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shaping and executing the experimental strategy. Research Environment and Collaborative Structure The position is embedded in the Protein Research Group (PRG), an internationally recognized center
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simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy