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using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
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on capabilities for data interpretation, visualization and clinical decision support. The research is expected to use assets, such as electronic health care records, molecular data (e.g. imaging and omics), as
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, drug response and monitoring of health. 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
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. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and
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deadline is 30 July 2025. Work task You will provide researchers with expertise in the planning and performance of electron microscopy (EM), electron tomography and image analysis, in medical, biological
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deadline is 30 July 2025. Work task You will provide researchers with expertise in the planning and performance of electron microscopy (EM), electron tomography and image analysis, in medical, biological
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Image Science and Visualization (CMIV), Linköping University Hospital. Your office will be at CMIV, which is instituted to serve as a melting pot and meeting place between academia, industry, and
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, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of
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SciLifeLab. To be successful in this position you need a deep understanding of the emerging research field virtual cells, at the interface of advanced molecular cell biology and imaging on the one hand and
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data