12 computer-algorithm "https:" "Simons Foundation" positions at Centre for Genomic Regulation
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was established in October 2018 and is part of the “Computational Biology and Health Genomics” program at the CRG. Further information can be found at https://weghornlab.org/ and at www.crg.eu/en/programmes-groups
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26 Feb 2026 Job Information Organisation/Company Centre for Genomic Regulation Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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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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group at the forefront of AI-driven protein design and engineering. The team is highly collaborative, integrating computational scientists, experimental biologists, and biotechnologists to push the
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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 EU Research Framework 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
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these questions, we develop mathematical and computational approaches to estimate mutation probabilities and selection. Tumor mutations are caused by diverse mutational processes, which can be identified through
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benefit from a well-structured and personalized training and mentorship program, including experimental training, regular meetings, seminar attendance, data analysis and presentation. Project description
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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