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Field
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dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its
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biomechanical data collection. • Embedded Systems: Develop firmware and optimize low-power microcontroller-based sensor platforms. • Wireless Communication: Implement and optimize Bluetooth Low Energy (BLE
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of Energy and Petroleum Engineering. The position is affiliated with the National Centre for Sustainable Subsurface Utilization of the Norwegian Continental Shelf, (NCS2030) , and is available from January
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process of continuous germplasm improvement, discovery trait research and methodology optimization to reach greater breeding efficiency. The general research technologies/methodologies and approaches
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-resistance phenotypes. You will gain experience applying AI, genomics, and bioinformatics, from foundational AI/ML concepts to hands-on application and optimization of DNA and protein language models
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insulation systems. Implementation of simulation routines that allow for variable façade U-values based on local climate. Optimize the modular panel’s geometry to incorporate an air gap and any necessary
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Council (ARC). You will develop a new model of electrical energy distribution, including renewable energy generation and electric vehicles. It will be used to optimize network resources across the grid
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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for urea formation through optimized catalyst design; reducing energy consumption by leveraging solar-driven PEC processes, and improving selectivity and stability, minimizing undesired by-products
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establishing and optimizing long-term molluscan cell culture systems and advancing next-generation in vitro models for fundamental and translational research. Position Description · Develop, optimize, and