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Experienced Research engineer to the Department of Molecular Medicine and Surgery, Endocrine Surgery
Do you want to contribute to improving human health? The position is located within the The Department of Molecular Medicine and Surgery (MMK). The department carries out preclinical and clinical
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molecular biology approaches (such as cloning and cell culture) and bioinformatic knowledge (with proficiency in R, Python or similar) are required to complete this project. It is a clear strength if the
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Do you want to contribute to top quality medical research? Location The Pietrocola lab is part of the Department of Cell and Molecular Biology, in the the newly built and modern laboratory
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Do you want to contribute to top quality medical research? A postdoctoral research position is available in the lab of Rickard Sandberg at the institution for Cell and Molecular Biology (CMB
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The Department of Neurobiology, Care Sciences and Society (NVS) conducts world leading research in aging, dementia, epidemiology and care sciences. This research extends from basic molecular and
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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 Data-Driven Life
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of passionate scientists at the cross-roads of structural and computational biology. Our research is performed in an interdisciplinary setting with strong collaboration with experimentalists in other departments
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, data science, etc. We will also consider those with PhDs in other areas such as molecular biology, but who have advanced/relevant and demonstrable data science skills (e.g., omics data analysis). Prior
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, medicine, biomedicine, or another relevant field. Documented experience in of cell- and molecular wet-lab experimental methods including gene expression analysis and melanoma. Knowledge of systems biology
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Do you want to contribute to improving human health? Decscription of the researchgroup Our lab is advancing precision cancer medicine through deep learning models of the molecular networks within