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skills and knowledge while contributing to a more sustainable future through tomorrow’s manufacturing technologies. Information about the department The main competences at the Department of Industrial and
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(advantageous but not required). Familiarity with using digital technologies in construction, like BIM (Building Information Modelling). Main responsibilities Participating in the Graduate School of Civil and
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. The PhD student will be enrolled in a doctoral programme of Chalmers and is jointly supervised by supervisors from the academic and industry sectors. Further information can be obtained by contacting Docent
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of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
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of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Discover more Find more general information about doctoral studies at Chalmers here
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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student, you will be supported by a multidisciplinary team with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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long-term, and most often global, perspectives on future renewable fuels for transport. We seek to rigorously analyse the feasibility of energy transitions, utilize empirical as well as estimated data
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the division of Geoscience and Remote Sensing we conduct research to tackle global environmental problems and to understand processes of the Earth system. We develop sensors, gather and analyse data