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Field
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facilitated by the availability of a high-power axial-feed capable plasma spray system and a high velocity air-fuel facility. These lend a rare uniqueness and versatility to the group’s processing capabilities
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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on these by modification and processing. The work will also involve development of analysis tools and sample environments aiming towards in-situ/operando studies. Who we are looking for The following
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that govern ship design and operation—to applied research supporting designers, regulations, and operational models. The division plays a central role in the Naval Architecture and Ocean Engineering education
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analysis Ship resistance and motions Propulsion systems and energy efficiency Activities range from basic science—advancing understanding of the physics that govern ship design and operation—to applied
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processing. The work will also involve development of analysis tools and sample environments aiming towards in-situ/operando studies. Who we are looking for The following requirements are mandatory: A doctoral
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23 Oct 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Computer architecture Computer science » Other Environmental science » Earth
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the research on steel recycling and processing. Within the research subject Engineering Materials, there are several research programs spanning broad areas of metallic and ceramic materials research
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can