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Postdoctoral Researcher in Multimodal Machine Learning for Precision Cancer Medicine The Machine Learning in Biomedicine (MLBioMed) research group at the Institute for Molecular Medicine Finland
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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Background A 2.5-year postdoctoral position with flexible starting date is available in the Cancer Data Science group led by Associate Professor Mariike Kuijjer at iCAN Flagship in Digital Precision
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Background A 2.5-year postdoctoral position with flexible starting date is available in the Cancer Data Science group led by Mariike Kuijjer at iCAN Flagship in Digital Precision Cancer Medicine
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program page . Disciplines: Life Science, Health, Medicine, Genomics, Bioscience, Biomedicine, Health Science, Molecular Biology, Neurobiology, Infection, Cancer Biology List of NORPOD projects open for
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manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use
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through Aalto’s online portal. Required documents: CV Cover letter with a point-by-point response to selection criteria (max. 1,500 words) One writing sample (preferably single-authored, ~8,000 words
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, I. and Shimmi, O. (2022). Mechano-chemical feedback mediated competition for BMP signalling leads to pattern formation. Dev Biol. 481:43-51. https://doi.org/10.1016/j.ydbio.2021.09.0063 . Gui, J
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researcher will work in the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored