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increase the energy efficiency of the process. This PhD project aims to get an in-depth analysis of the potential of coupled photonic resonant circuits for optical computing. The project will consist among
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project aims to get an in-depth analysis of the potential of coupled photonic resonant circuits for optical computing. The project will consist among others of the following tasks: Investigate the links
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therefore increase the energy efficiency of the process. This PhD project aims to get an in-depth analysis of the potential of coupled photonic resonant circuits for optical computing. The project will
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materials Development of simulation models for the electromagnetic wave interaction analysis Machine learning design of antennas and metasurfaces for interaction with lossy materials Research into practical
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with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and
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carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects in
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whole plant or field crop experiments, as well as modern plant analyses and monitoring techniques. Competent on data management and statistical analysis, etc. Good interpersonal skills, experience with
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porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects
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. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable
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several degrees of freedom for data encoding and processing, time, frequency, space, modal content, etc. However a systematic analysis of the potential and trade-offs of applying photonic parallelism