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Electrical Power Engineering This project focuses on the development of modeling, stability analysis, control strategies, and hardware solutions for converter-dominated power systems. Knowledge of diversity
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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spectroscopy (XANES, EXAFS, and others) at synchrotron facilities such as MAXIV with theoretical molecular modeling of the corresponding systems. The work will be carried out in the Molecular Geochemistry
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things, combine time-resolved and multimodal X-ray absorption spectroscopy (XANES, EXAFS, and others) at synchrotron facilities such as MAXIV with theoretical molecular modeling of the corresponding
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credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits; or Have acquired substantially equivalent knowledge in some other way
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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large-scale omics datasets, develop and apply statistical methods and interpretable AI models, and contribute to the identification of biological markers and molecular mechanisms associated with disease
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and ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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communication skills in Swedish, Strong knowledge of electric power engineering, power electronics, and power system analysis, Experience of modelling, simulation, and experimental work. In an overall assessment