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background in cancer biology and genomics research. · Experience working with high-performance computing (HPC) environments and version control systems such as Git. · Excellent written and verbal
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to the development of advanced statistical frameworks and computational tools for analyzing high-dimensional biological and environmental data. The position will specifically focus on: • Development of multivariate
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of Canada. This project is about high-rate quantum LDPC codes, with a specific question in mind: how do we compute on these codes? Not only is there a huge variety of new codes to consider, computational
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for the operation of Sapphire XD. The unifying theme of this position is excellence in isotope geochemistry and mass spectrometry. The postdoc will join a growing research group focused on applying innovative metal
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Position Description The David R. Cheriton School of Computer Science at the University of Waterloo and the Vector Institute invite applications for a Postdoctoral Fellow to lead a high-impact
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● Experience in statistical data analysis. ● Experience with large-scale detector simulations and high-performance computing systems. Preferred Experience: ● Experience with cryogenic and/or low-background
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was successful in all three funding lines of the German Excellence Initiative and has also been competing successfully in both funding lines of its successor programme, the Excellence Strategy, since
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, metabolomics, proteomics) is an asset. Knowledge of data harmonization platforms (e.g., Maelstrom Research guidelines) is an asset. Experience with high-performance computing environments (Unix/HPC clusters) is
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mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling Research
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childhood cancer The lab has extensive expertise in: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging