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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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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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to the development and maintenance of acute and chronic pain. The work involves advanced histological and neurobiological methods, as well as experimental models used to investigate interactions between the nervous
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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
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and thoughtful communication, both within the scientific community and with the public. You will contribute to the development and maintenance of the common LDMX software. You will be responsible