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experience working with deep learning methods for biomedical applications. Academic and Project Excellence: Evidence of high-quality research work, as demonstrated by academic grades, the merit of prior degree
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Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking PhD students to work
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senior researchers and will also include three PhD students and newly recruited postdocs. As a PhD student, you will be part of the interdisciplinary research group and participate in the WASP-HS national
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at extreme conditions. You will use advanced computational techniques to accurately capture the effect of ultra-high pressure and high temperature on the materials properties. Your studies will include
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fluid dynamics and heat transfer to study multiphase flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict multiphase
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, where despite Sweden’s high screening participation, large socioeconomic differences persist even when measures to increase equity are introduced, such as the removal of patient fees. Breast cancer is
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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of healthcare to a significantly lower degree. This is particularly true for breast cancer, where despite Sweden’s high screening participation, large socioeconomic differences persist even when measures
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methods in fluid dynamics and heat transfer to study multiphase flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict
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sustainable systems. One issue using hydrogen is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project