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. Academic concepts and theory relating to advanced AI, ML, xAI, and optimization for sustainable energy systems analysis and forecasting and being familiar with large language models, cloud platforms and
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appropriate to their level of experience, with experience in computational deep learning model testing and verification, one or more of optimal transport, optimisation, environmental modelling, numerical
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. Candidates with a research focus on formal methods, reinforcement learning and optimization are strongly encouraged to apply. The post will be held in Dr. Chao Huang’s lab in the School of Electronics and
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optimize the extrusion process. The successful candidate will hold either a BEng/MEng/MSc or a PhD degree in a relevant area of Food Science/ Engineering/Technology/ Chemical or Process Engineering or
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need optimally. Finally, in a multi-site study, we will test whether using this system and escalation pathways leads to better outcomes. We are seeking an enthusiastic, ambitious, clinical researcher
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solar PV systems, battery storage, cold storage units, crop management practices, and farmer energy consumption patterns. Employ advanced energy system design software, such as HOMER, to optimize system
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into 'human in the loop' workflows. This post is available for two years. Keywords: Geometric Deep
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production processes. Cost and value chain evaluation and optimization of hydrogen supply for glass manufacturing. Validate H2GLASS technology through application in industrial context. Aston University is
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of postpartum depression (PPD). In particular, we are seeking a highly skilled and motivated Medicinal Chemist to join our Late Lead Optimization team. The successful candidate will work alongside the project
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(AI), have become key drivers of such innovations. AI, powered by advancements in computational power and big data, serves as a transformative socio-technical system capable of optimizing processes