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spoken and written professional English is further essential, likewise is the ability to teach effectively in English or Swedish expected. Proficiency in medical image processing, image registration, 3D
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gathers a unique combination of expertise in computerized image processing, human computer interaction, and computing education. SciLifeLab BIIF is administratively placed here, and offers education and
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opportunity as an Industrial PhD student to work on a project that applies machine learning to improve diagnostic and reporting workflow processes in clinical kidney pathology. This project is a collaboration
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tissue using mass spectrometry imaging. A concrete goal will be to enhance the signal of bioactive lipids for detection and mapping in tissue. After development, the method will be applied to compare
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possess a Master’s degree in Computer Science and Engineering, or a closely related field such as signal processing, machine learning, statistics, or bioinformatics. Expertise in image analysis and deep
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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of these diverse types of datasets allows for a more comprehensive reconstruction of neurodevelopmental processes, combining insights into what is happening in individual cells (gene expression), where it is
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uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global