10 structures "https:" "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin" positions at Centre for Genomic Regulation in Spain
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projects, such as ENCODE, GTEx, and others. For more information: https://genome.crg.es/ . Whom would we like to hire? Professional experience Must Have • Master’s or PhD/Postdoctoral profile in
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of two referees. All applications must be addressed to Dr. Berta Fusté. To be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Selection Process Pre
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referees. All applications must 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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. All applications must be addressed to Dr. Lars Velten and be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Selection Process Pre-selection: The pre
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contact details. Contact details of two referees. All applications must be addressed to Dr. Lars Velten and be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job
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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
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evolution of cellular structures, with a particular focus on centrioles, centrosomes, cilia, and cytoskeletal organisation. The lab combines cell biology, advanced microscopy, quantitative image analysis
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and Health Technologies, Sport and Nature as Innovation Laboratories, and Sustainable Construction. The programme aims to position Andorra as a global hub for mountain ecosystem science by integrating
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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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involving Neuroscience You have proven experience in big data analysis (RNASeq, smallRNASeq, GWAS, proteomics) You have excellent understanding of transcriptomic and proteomic workflows, data structure and