12 computer-algorithm "https:" "The Institute for Data" positions at Centre for Genomic Regulation
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computational, and we do both large-scale data analysis and development of methods, but it has also an important experimental component. We participate in many large scale international functional genomics
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mechanisms and genetic drift. The Evolutionary Processes Modeling lab was established in October 2018 and is part of the “Computational Biology and Health Genomics” program at the CRG. Further information can
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute The Centre for Genomic Regulation (CRG) is an international
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using a combination of single cell genomics, genetic screens, and computational biology. We strive to develop novel genomic and bioinformatic tools to answer longstanding questions in the field. We cover
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31.8.2027) Job Status Full-time Hours Per Week 38.5 Offer Starting Date 15 May 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number PID2023-146699NB-I00 Is
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the Institute of Mountain Genomics, a joint research initiative that combines Andorra’s high-mountain ecosystems with CRG’s expertise in genomics, computational biology and biotechnology. The initiative is
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. We combine molecular biology, imaging, genomics, and computational approaches to address fundamental questions in genome regulation. The lab fosters a collaborative and interdisciplinary environment
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the “Computational Biology and Health Genomics” program at the CRG. Further information can be found on the Weghorn Lab website and at www.crg.eu/en/programmes-groups/weghorn-lab . Whom would we like to hire
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effects) and metagenomics (microbiome profiling using deep shotgun sequencing data, detecting horizontal transmission). We are mostly computational but have a small lab component and work in close
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). The candidate will design and apply integrative data analysis (computational/statistical/causal) and visualization techniques for multi-omic (transcriptomics, mirnomic and proteomics) data to address research