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renewable power system dynamics. Collaborate with experts from DTU and IIT Bombay, gain hands-on experience with advanced simulation tools, and contribute to high-impact publications. Enhance your
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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and
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theory of photonic information processing will be an advantage. Spectroscopy on silicon quantum light sources (mainly characterization and theory). Experience with experimental and/or theoretical quantum
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proof-of-principle photonic topological designs, and identify opportunities for demonstrations with experimental collaborators at the department and internationally. The program aims to advance
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: Handling of pure and mixed microbial cultures under anaerobic conditions. Operating bioreactors in batch and/or continuous mode with suspended and/or attached growth (biofilm). Experience in gas fermentation
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, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or cheminformatics are advantages. The candidate must be able to work independently, but also participate in
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly
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The assessment will take into account the following criteria: Willingness and ability to spend one year in Australia as part of the Alliance PhD program is mandatory. Experience with process technology and
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cell and stack using experimental data and advanced modeling techniques. Propose and implement improved operation modes to minimize degradation effects and enhance performance. As part of the PhD