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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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controlled release. Using a combination of hydrological modelling and performance-based design, the project will develop and test prototypes of nature-based interventions. These prototypes will generate
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assays. Publish results in high-impact journals and present findings at scientific conferences. Engage in interdisciplinary training to build expertise in both computational and experimental approaches
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on turning high-quality (smart meter, grid, or weather) data into actionable insights and better-informed decisions through advanced data analytics. When this energy data is shared, it can be exploited by
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interactions. Clone and express top candidates using high-throughput cell-free and bacterial systems. Perform structural and biophysical characterisation of designed enzymes Perform functional characterisation
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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candidates using high-throughput bacterial systems and cell-free protein synthesis. Perform structural and biophysical characterization of designed proteins (e.g., CD, SPR, BLI). Perform validation
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PPC at high load where knock will severely limit SI operation. However, at low load CI combustion cannot be used but SI works well. By combining SI and CI, as well as the more advanced concepts of HCCI
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Department of Communication and Psychology
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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and