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: Apply Position Description PhD student in Physics of Superconducting Electronics The Department of Physics is located in the AlbaNova University Center and has approximately 240 employees, 250 students
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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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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
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Description A competition for a PhD positions is announced at the Centre for Organic and Nanohybrid Electronics as part of a project funded by the NCN under OPUS-27. Description of Task The research tasks
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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
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regardless of the used technology, on the mechanical properties. In silico analysis by computational fluid dynamics analysis. I.4. Gross monthly wage: 2.351,53€, corresponding to the 1.st position, wage level
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of-the-art methods such as cryo-electron tomography
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography
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. - Strong motivation for scientific research, ability to work independently and effectively plan and organize research tasks - Familiarity with standard office software and scientific data presentation
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational