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, will be trained on simulation data to create dynamic, adaptive control systems that optimise operation in real-time across multiple variables. This research will deliver a validated roadmap to 60
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that provides timely and effective support to real-life policy processes. The successful candidate will become part of an interdisciplinary team and support the development of data and model assets which are used
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high capital expenditure and low operational costs. Therefore, an installed capacity tailored at peak demand is not cost effective, while extending the annual operation period is advantageous for meeting
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focus on developing your PhD project In silico optimization of PBF-LB-manufactured Mg alloys. There is a plethora of studies on the processing, mechanical and corrosion properties of Mg-based alloys
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We are looking for a PhD candidate for microfabrication, nanostructuring
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within the project: “Centre of Excellence in Computer Assisted Systems for Drug Dosing Control and Optimisation”. The candidate should be able to test the developed control strategies in various scenarios
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institutions. PhD topic: Numerical simulation techniques for the analysis of arrays of RTD oscillators Further details on the doctoral programme and the individual PhD topics can be found here . The aim
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relevant to the position. Curriculum Vitae, summarising educational background and relevant work experience. Academic transcripts for the undergraduate and master’s studies, and a copy of relevant research
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
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extending the annual operation period is advantageous for meeting energy needs, reducing levelised cost of energy (LCOE) and decarbonisation. Optimal utilisation of sustainable heat requires storing large