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advanced operational strategies, such as model-predictive control, tailored to dynamic prosumer energy demand. Foster collaboration: Work closely with industrial and research partners, including CENAERO
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measurements of key organics, plus culture experiments, to uncover the biochemical pathways and environmental controls on methane formation and oxidation. Your job This work will enhance our understanding
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conferences, and academic journals. Your project will lead to better predictions of future coastal dune development and enhance the design and implementation of nature-based solutions. To support academic and
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sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
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dislocations, grain boundaries and precipitates, as well as phase diagrams exploration. A key challenge faced by steel industry is the development of digital twins able to contribute to an excellent control
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predictive models and novel measurement methods that improve coating performance for corrosion protection, heat reflection and radiation shielding. You will collaborate closely with our industrial partners
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for translation and testing model predictions; bioinformaticians, investigating evolutionary conservation of sequence, (co)expression and regulatory modules; and modelers, developing crop-specific integrated plant
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want to contribute to the bottom-up construction of synthetic cells? Are you excited about the application of AI tools to predict gene expression levels across a synthetic genome? Then join our team as a
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. An aortic aneurysm is a bulge in the body’s main artery, the aorta. The bulge can rupture, unfortunately leading to death in more than eighty per cent of cases. It is not currently possible to predict whether