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control and statistical analysis Learn about optimizing liquid handler to automate biomolecule assembly on electrodes Participate in development of techniques for high throughput optimization of sensing
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. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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collaboration with microscopy experts) Plan, perform, and analyze experiments at the cSAXS beamline and contribute to improvements in experimental control and automation Participate in user support at the cSAXS
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and Applications of Food Composition Laboratory and the Food Quality Laboratory. The project focuses on enhancing health-promoting compounds in leafy greens through optimized nutrient delivery and
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with numerical modeling, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects
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resilience behaviours in Asian Seabass in farm conditions using laboratory model zebrafish and controlled lab studies on early-stage Seabass. The candidate will work with a dynamic team spanning basic
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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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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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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