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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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criteria Assessment grounds that would place the candidate at an advantage include documented evidence of research in ecology, experience and knowledge in advanced complex statistical analysis (e.g
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include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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activities aimed at developing and using biomarker analysis in blood samples for next generation cancer diagnostics. The work will also include studies in basic tumor biology, where we use various in vitro
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. Importance will also be placed on experience of qualitative methods for data collection and analysis. Given the character of the research project importance will also be placed on good knowledge of both
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motor behavior analysis. Technical experience with imaging, molecular biology, immunohistochemistry, in situ hybridization are also highly valued. Technical experience with embryo electroporation and /or