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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems
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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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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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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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the application deadline. Exceptions 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
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field, obtained within seven years before the application deadline. Exceptions to the seven-year eligibility limit may be made for documented circumstances such as parental leave or military service. You
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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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or more of the following areas: AI and machine learning, natural language processing, large language models (LLM), experience in designing prompts, fine-tuning LLMs, or distributed systems. Good knowledge
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fields, where negative ions are the common denominator. In this vacancy the remaining position will be announced. Students enrolled in the program will acquire a comprehensive skillset that is relevant
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states. We seek a talented and dedicated doctoral student eager to pursue a career in physical or physical-organic chemistry. You should be open-minded, keen to learn and have a genuine interest in science