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University with partners at Uppsala University, the research institute RISE, and numerous Swedish and international industry partners. You will conduct application-inspired fundamental research on materials
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education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science, electrical engineering, or equivalent Device fabrication using
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Swedish and international industry partners. You will conduct application-inspired fundamental research on materials synthesis with physical vapor deposition (PVD) and materials behavior. The work is
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infrastructures to jointly work within research on innovative materials engineering solutions for current industrial sustainability challenges, for instance, research related to electrification of the transport
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Center NEXT. NEXT has 24 partners from academia, research institutes, companies and infrastructures to jointly work within research on innovative materials engineering solutions for current industrial
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industrial use cases. The Division of Statistics and Machine Learning is characterized by a modern view of the statistical subject, where probabilistic models are combined with computational algorithms
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leave – then these may be taken into consideration. The following education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science
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applications in, for example, autonomous systems, multi agent systems, and industrial use cases. The Division of Statistics and Machine Learning is characterized by a modern view of the statistical subject