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information from sequence alone, independent from optical microscopy. This adjacency or neighbor-neighbor information can be used generate images in a computer. Today one person can routinely read millions
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team is to improve our understanding on the use and effect of medications, devices, processes of care and electronic clinical decision support systems in routine clinical practice, with a primary focus
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including vision transformers, for computer vision tasks. Previous experience in image analysis/processing. Bachelor’s and/or MSc degree in machine learning, computer science, electrical and computer
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strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging techniques, electronic healthcare data, longitudinal patient and population registries and biobanks. MS is a lifelong
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of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. This doctoral research
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molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The work aims at improving prostate cancer care by developing artificial
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assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The position is at the intersection
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expected to plan experiments (with supervision), write reports (electronic lab book) and present data at group meetings and conferences. The student will work on independent projects but will also have the
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monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records
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well as markers of oxidative stress using electron paramagnetic resonance (EPR) and HPLC techniques, is desirable, it is not mandatory. Given that teaching is an integral component of doctoral education, prior