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data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function
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(transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional
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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, longitudinal patient and population
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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 applicant is expected to have a
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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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), 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 application