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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts
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shared by Karolinska Institutet, KTH and Stockholm university. Your mission We are seeking a highly motivated postdoctoral researcher to join our team to develop new tools to analyze the sequencing data
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wide-ranging expertise and interests. Karolinska Institutet is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better
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. Active participation in major international consortia. Support for career development, conference travel, and long-term academic progression More information: https://www.scilifelab.se/researchers/simon
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mutations in ageing by measuring somatic mutation rates in honeybee castes and experimental evolution lines of seed beetles. Quantifying somatic mutations on a genome scale with high fidelity is
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member states to advance AI solutions, training, business and workforce development. Please read more: www.naiss.se , https://eurohpc ju.europa.eu/ai-factories_en . Main responsibilities As an application
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within the development and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials
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in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
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School of Engineering Sciences at KTH Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a research group funded by
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microscopy (EM) method development using focused ion beam (FIB), cryo-EM and electron tomography. The position is for four years of doctoral studies, including participation in research and postgraduate