18 condition-monitoring-machine-learning Postdoctoral positions at Linköping University in Sweden
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of Machine Learning and Computational Chemistry. This recruitment is linked to the Wallenberg AI, Autonomous Systems and Software Program (WASP) and Wallenberg Initiative Materials Science for Sustainability
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these may be taken into consideration. You should have a strong background in mathematics and experience in digital forensic analysis, machine learning, and visual data processing, with a record of
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are looking for candidates with a PhD in Computer Science, Visualization and Media Technology, Machine Learning or a closely related research field. A strong background in machine learning and visual data
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-destructive techniques have been developed to detect such damage and monitor the condition of composite tanks. More recently, functional polymeric composite materials have opened new possibilities for high
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of properties. The project will involve machine learning, and will be performed in close collaboration with the Department of computer science. We have a strong track record in the discovery of both 2D and 3D
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and
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be taken into consideration. We are seeking applicants who have a doctoral degree in a relevant technical area such as AI, machine learning or similar. It is required that you have knowledge and
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fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at Bachelor’s and Master’s
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cell reactors. A post-doc takes an active part in shaping and correcting the research direction together with the supervisors. Various tasks assigned to the post-doc include continuous learning and