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sustainability. Proficiency in English speaking, reading and writing. Strong analytical and methodological skills, with proven experience in one of the following: material flow analysis (MFA), system dynamics (SD
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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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Skills Master’s degree in neuroimmunology with strong skills in bioinformatic analysis Documented experience in neuroscience, neuroimmunology, mitophagy, mitochondrial function, and mitochondrial DNA
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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
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irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export
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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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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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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