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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We
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-der-valk/ ). We are looking for someone with a passionate interest in insect phylogeny and evolution, and with strong competence in de novo genome assembly and phylogenomic analysis. The successful
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and is part of the National Program for Data-driven Life Science (DDLS ), generously funded by the Knut and Alice Wallenberg Foundation. Our research is focused on the use machine learning + AI tools as
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dynamic and international research environment, where interdisciplinary researchers work together closely to push the boundaries of RNA biology. Our team has expertise in wet-lab methods development – as
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at SciLifeLab An opportunity to develop an internationally competitive research profile and networks as well as guidance for future career development Guidance on relocating and settling in at KTH and in Sweden
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interested in using and developing state-of-the-art methods in biophysics and structural biology (e.g. RNA probing & SHAPE, or NMR). Are you looking for an employer that invests in sustainable employee ship
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chemical-analytical data processing. The project focuses specifically on method development in metabolomics and mass spectrometry-based data analysis, ranging from preprocessing of raw instrument data
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Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms
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chemical-analytical data processing. The project focuses specifically on method development in metabolomics and mass spectrometry-based data analysis, ranging from preprocessing of raw instrument data
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changes, cancer cells can evade the strict control on growth and form a tumor. New studies emphasize the importance of communication between tumor cells and the surrounding tissue for cancer to develop