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modelling and parameter estimation. This PhD project will be carried out in the Mathematical Systems Biology group at the Computational Biology Unit , a cross-departmental unit at UiB that works at
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grids, such as cascading blackouts, natural disasters and deliberate sabotage, causing large-scale power failures with severe consequences. The rapid growth of distributed energy production and storage
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standards in 2024. In blockchain, PQC signatures are progressively integrated to replace the vulnerable cryptographic schemes used today, while there is potential for bandwidth efficiency in distributed
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow/Senior Research Fellow to
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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. Implement AI-driven diagnostics and battery state estimation algorithms. Collaborate closely with industry stakeholders to co-develop next-generation battery control solutions, supporting commercialisation
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based