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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Universitat de Barcelona
- Centre for Genomic Regulation
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- Biobizkaia Health Research Institute
- Fundació per a la Universitat Oberta de Catalunya
- Institute for bioengineering of Catalonia, IBEC
- Achucarro Basque Center for Neuroscience
- BIOGIPUZKOA HEALTH RESEARCH INSTITUTE
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- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- INCLIVA Biomedical Research Institute
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institut d'Investigació Biomèdica Sant Pau
- Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida)
- Institute of Functional Biology and Genomics
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Field
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Requirements Research FieldCriminologyEducation LevelBachelor Degree or equivalent Specific Requirements Profile Academic Qualification: University Degree in Bioinformatics. Experience of a minimum of six (6
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conference abstracts Desired: Computer skills for the database creation and management Previous knowledge in bioinformatics and specific analysis programs (OMIQ, SPSS, Prism, etc.) Good skills in dissemination
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points) Development of bioinformatics tools for biological image analysis (5 points) Programming skills (5 points) Ability to work independently and remotely (5 points) Experience in computational analysis
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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 two main research lines
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, genetic screens, and computational biology. We strive to develop novel genomic and bioinformatic tools to answer longstanding questions in the field. We cover two main research lines, a) Gene regulation in
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resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
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/ Nice to have You have experience with advanced bioinformatic tools (e.g. Python/R, omics data analysis) Education and training A Ph.D. in a relevant field of study and/or candidates with no more than one
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relevant field such as computational biology, bioinformatics, computer science, or a related discipline. Programming proficiency in Python and/or R. Demonstrated experience in analyzing large-scale