11 machine-learning-"https:" "https:" "https:" "RAEGE Az" positions at Centre for Genomic Regulation in Spain
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includes developmental, computational, evolutionary and molecular biologists. References Elek, A. et al. Decoding cnidarian cell type gene regulation. bioRxiv 2025.07.01.662323 Preprint at https://doi.org
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At least 1 year of experience in customer or user support (helpdesk, IT support, or similar) Good computer skills and willingness to learn technical tools (basic SQL, Linux command line, databases
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or pre-printed at least one primary research paper as first or co-first author You have some experience in experimental work Desirable but not required/ Nice to have A strong foundation in machine learning
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submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Selection Process Pre-selection: The pre-selection process will be based on qualifications and expertise
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regulation, combining single-cell genomics, chromatin profiling, and comparative genomics methods in a phylogenetically diverse array of eukaryotes. For more details about the lab, visit the lab website: https
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analysis Good computer skills; familiarity with informatics tools and databases Nice to have Knowledge of human genomic or biomedical data Experience with helpdesk/ticketing systems Languages Excellent
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finished their master's degree, want to gain laboratory experience while working on groundbreaking projects, and learn cutting-edge techniques that will be valuable for future applications both inside and
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to Reyes Perza and be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Selection Process Pre-selection: The pre-selection process will be based
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online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Selection Process Pre-selection: The pre-selection process will be based on qualifications and expertise reflected
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Outbred Rats (https://ratgenes.org/ ). Whom would we like to hire? Professional experience Must Have You have proven experience reconstructing MAGs from deep shotun sequencing data and, ideally, long read