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infrastructure and support from more than two hundred plant researchers. Our research spans from biochemistry and molecular biology to physiology and the ecosystem level (www.upsc.se) . System developer Umeå
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validation of assays, development, and reporting of automated assays with appropriate throughput for the projects are important. Raw data is reported to web-based databases. You will actively participate in
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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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an international environment and is focused on animal biology. Outstanding and high impact research is conducted in broad fields, from genomics to ecosystems, nerve cells to behavior and evolution to conservation
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, each focusing on different areas within cell and molecular biology: computational biology and bioinformatics, microbiology and immunology, molecular biology, molecular biophysics, molecular evolution
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application! We are now looking for Computational Research Assistants in Tumour Evolution and Single-cell Genomics. The position Cancer evolves over time and space, with subclones often acquiring new mutations
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position is part of a five-year research program funded by the Wallenberg Foundation, which aims to develop and apply computational tools to understand the evolution of biodiversity (see https
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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data