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Job description Carbon capture will play an important role in reducing CO₂ emissions from sectors such as power generation, steel production and cement manufacturing. One promising route is
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning
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of mill and production operations. The scientific challenge will be to use the model and machine learning alongside live mill data (temperature, rolling loads etc) to reverse engineer the current
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17 Sep 2026 Job Information Organisation/Company University of South-Eastern Norway Research Field Technology » Environmental technology Technology » Energy technology Engineering » Mechanical
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Department for Energy Science is seeking candidates who wish to pursue a PhD in Energy Engineering. Your research will focus on developing and applying optimisation models to analyse the future role of
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Engineering Department at TU Delft where you will be a part of both the Computational Biomechanics (Seth) and Neuromuscular Control (Mugge) Labs. In addition to research, there are many opportunities to develop
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networks of nodes and parameters. This practice-based PhD investigates how AI can assist at the level of tool production by drafting procedural networks that the experienced technical artist can inspect
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complex interactions between geology, fluid flow and water–rock reactions. Changes in pressure, temperature and fluid chemistry during production and reinjection can promote mineral dissolution and
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to pre-equilibrium and direct-reaction dynamics. The measurements will produce new high-precision nuclear data, including total production cross-sections and the energy and angular distributions of emitted
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: Engineering Hydrogen-Resistant Circular Steels (CIRHY)" which is a 6-year research and innovation project developing next-generation circular steels that can safely operate in hydrogen environments. By