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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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project position is the design and numerical simulation of quantum-dot-based single-photon sources using advanced optical simulation tools. The objective of the PhD2 project is the microfabrication
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qualifications The overall objective of this project is to upcycle excess earth from construction sites into sustainable structures. This will be achieved through the development of advanced, automated processes