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aims to develop new knowledge about how AR can support work in underground mines. The project aims to develop and implement Augmented Reality (AR)-based maintenance support for drill rigs. Its objective
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increasing capacity utilisation on the railway, time in track for maintenance is decreasing at the same time as consequences of lacking maintenance are increasing. This means that precision in asset monitoring
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or qualitative content analysis, and contribute to analyses of quantitative and 1177 usage data. Apply the PRISM and RE-AIM frameworks to study reach, adoption, implementation, effectiveness and maintenance
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assurance work Experience from hands-on mass spectrometry handling What you will do Being responsible for the maintenance and further development of a quantitative method for the analysis of SCFA in different
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of hardware, scanning algorithms and reconstruction software. Participate in the operation of the beamline, i.e. user support, maintenance of hardware and software development, with a focus towards battery
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. user support, and maintenance of hardware and software. develop experimental research exploiting nanoCT for battery research. participate in the BatMAX consortium, including planning beamtimes
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university courses, to co-supervise students and to contribute to the maintenance and operation of the ATLAS experiment, as required by the collaboration. Administration related to teaching, supervision and