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                to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered 
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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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                . This development has a huge potential for societal impact, with applications in renewable energy, energy storage, electronics, medicine, sustainable manufacturing, etc. The main focus for the advertised position is 
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                . Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology 
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                an experimental one and concerns studies of mutual neutralization processes using the double electrostatic ion-beam storage ring, DESIREE. Mutual neutralization is the process in which an electron is transferred 
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                general. Computer vision can also be included if there is interest. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary 
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                flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid 
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                requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied 
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                the molecular structural dynamics of proteins and small molecules. We primarily use time-resolved X-ray scattering and diffraction experiments at free-electron laser sources. Our research combines biochemistry 
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                to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and