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Field
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suspension pipe flow by 30–40% across different flow rates. This makes designing and controlling these flows difficult. The difficulty arises partly because these flows do not fit the conventional ‘laminar
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flows need to be controlled, including gases such as O2, CO2, He, Xe, Kr, Ar, Ne, N2, N2O, and H2, all in varying concentrations ranging from 0 – 80%. Traces of up to 500 ppm of NO, CO, and H2S could
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to advanced metacommunity experiments conducted under controlled conditions. The position offers opportunities for interdisciplinary research, international collaboration, and exchange visits with partners
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applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
; Autonomous ships and remote control. The research partners are the Norwegian University of Science and Technology (NTNU), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval
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the microstructural features controlling embrittlement and establish quantitative links between microstructure and structural performance. The outcome of this research, conducted in close collaboration with Tata Steel
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL methods that can support decision-making and control in complex industrial systems while
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possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience at the Faculty of Medicine
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cultivated in northern and remote locations. ACRD’s research interests include integrating engineering, intelligent systems, data analytics, and plant biotechnology to optimize crop production in controlled