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for optimal cell performance across different cell chemistries, designs and alignment. This will be achieved through the development of a high-fidelity physics-based modelling framework using COMSOL and MATLAB
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project SecureIoTM: Ultra-low-energy IoT Intrusion Detection Systems using Logic-based Tsetlin Machines and the Centre for Artificial Intelligence Research . The objective of SecureIoTM is to enable
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the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science, Specialisation in Engineering Sciences, Scientific Field Renewable Energy . Further provisions relating
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, convolution, regression, transformer, and reinforcement learning. Logical generative AI. Fair and transparent logical models. Ultra-low energy solutions. Required qualifications Applications from applicants who
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transition, such as, for instance: Political economy, political ecology, global value chains, global production networks, the cultural biographical approach, energy/environmental justice. Focus