37 machine-learning "https:" "https:" "https:" uni jobs at Chalmers University of Technology
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Chalmers and Volvo Car Corporation. Who we are looking forThe following requirements are mandatory: a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in
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for documented circumstances such as parental leave or military service. You have demonstrated independent, high-quality research and show strong potential to build an internationally competitive research program
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to the seven-year eligibility limit may be made for documented circumstances such as parental leave or military service. You have demonstrated independent, high-quality research and show strong potential
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parental leave or military service. You have demonstrated independent, high-quality research and show strong potential to build an internationally competitive research program. We also expect you to have
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parental leave or military service. You have demonstrated independent, high-quality research and show strong potential to build an internationally competitive research program. We also expect you to have
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Helps us to derive novel climate data by combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position
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real driver capabilities, contributing to safer and more user-centered vehicle behavior. The work will be carried out in Gothenburg in collaboration with Chalmers and Volvo Car Corporation. Who we
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focus on technology foresight developing data-driven approaches for probabilistic modelling of new technologies; a second will focus on policy analysis leveraging machine-learning approaches
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slowdown at the glass transition, remains a major computational challenge. This Doctoral student project addresses this by combining generative AI models and machine-learned interatomic potentials
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slowdown at the glass transition, remains a major computational challenge. This Doctoral student project addresses this by combining generative AI models and machine-learned interatomic potentials