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Field
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Department of Disease Control is a multidisciplinary
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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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9th March 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Optimization Apply for this job See advertisement UiB - Knowledge that shapes society UiB shall be among
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systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a
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cloud platforms for compute and storage. Version Control & CI/CD: Git, automated testing, deployment workflows. Experience with Linux systems, HPC, and distributed computing environments. Knowledge
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imaging protocols, benchmark performance on standard targets, and provide experimental feedback to guide detector and system optimization. The position involves hands‑on optical setup, instrumentation
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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dynamic models from information gathered form live networks become essential to manage network requests, while maintaining high availability and optimal resource utilization. One Post Doctoral researcher
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implement analytical pipelines for data preprocessing, quality control, normalisation, clustering, differential expression, trajectory inference, and pathway enrichment analyses. Integrate transcriptomic data