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AIPhD in computational modelling RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability All early-stage researchers recruited
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics” - a multidisciplinary research effort at the intersection of machine learning and materials science. This
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systems. Our work spans the full development cycle, from quantum device design and nanofabrication to low-temperature characterization and quantum measurements. You will join the Quantum Computing Group
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scientific field. A dynamic research environment within WACQT – the Wallenberg Centre for Quantum Technology – one of Europe’s largest quantum technology programs. A strong focus on career development
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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of Computer Science and Engineering Develop your own scientific concepts and communicate the results of your research verbally and in writing The position generally also includes teaching on Chalmers' undergraduate
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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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circularity of on-site construction processes), or business, management or social science with experience in working in the construction sector. Excellent verbal and written communication skills in English