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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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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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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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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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scientific articles, reports, and presentations at conferences. Collaborating with researchers and stakeholders to collect data, discuss results, and organize workshops. Completing coursework required
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literature, articulate targeted problem formulations, select appropriate methodology and methods, collect data, and systematically and critically analyze the findings from your studies. During this PhD journey
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dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence . Discover more Find more general information about doctoral
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Initiative for gender equality and excellence . Discover more Find more general information about doctoral studies at Chalmers here . How to apply The application should be written in English and be attached
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equality and inclusion as fundamental aspects 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