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PhD student in generative modeling for data-efficient machine learning Norrkoping Reference number LiU-2026-02831 We are now looking for a PhD student in machine learning with a focus on generative
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Skip to content PhD student in Computerized Image Processing with focus on Applications in data-driven precision medicine Uppsala University Share: Facebook Twitter LinkedIn Email Application
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scales remains a challenge. This PhD topic falls within the area of computational materials science and focuses on the development of a multiscale modeling framework that combines atomistic simulations
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focus is on: Machine-learning accelerated materials simulations ML-accelerated simulation of ion and charge carrier transport in energy materials Multiscale modeling of transport in materials The
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international conferences and in scientific journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials
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within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the
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modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic knowledge of building materials, and you should be fluent in English
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PhD student in advanced data analysis for data integration, image analysis, and precision oncology Login and apply Faculty of Medicine, Department of Clinical Sciences, Lund Lund University was
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undergraduate and graduate education in bioinformatics. You will also be part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS), a 12-year initiative aimed at
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absorption spectroscopy is particularly meritorious. Likewise, experience with programming in MATLAB, Python, or similar for data analysis is highly valued. Great emphasis is put on personal qualities