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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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related field, Knowledge in fluid mechanics and heat transfer, Programming skills (Python, MATLAB or equivalent), Strong English communication skills. Experience in multiphase flows, modeling, or AI methods
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plan. This includes planning and carrying out research in collaboration with supervisors and colleagues, as well as publishing results in peer-reviewed scientific journals. The doctoral education also
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to benefit from third-cycle education and have strong skills in written and spoken English. Proficiency in Swedish is considered a merit. Selection criteria Among applicants who meet the general and specific