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- Universitat de Barcelona
- Centre for Genomic Regulation
- Achucarro Basque Center for Neuroscience
- Biobizkaia Health Research Institute
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- Center for Biological Research "Margarita Salas"-CSIC
- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
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Field
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of functional genomic approaches (ATAC-seq, ChIP-seq, RNA-seq) and bioinformatic analyses as a model system. Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50322 Requirements
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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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FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications PhD in Agricultural Sciences, Soil Science, Bioinformatics, Biostatistics
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healthcare. Required qualifications: MSc or PhD in Computer Engineering, Computer Science, Bioinformatics, or a related field Strong technical background in one or more of the following areas: artificial
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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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international experience, may be considered if internationally experienced candidates do not fulfill other criteria.) - Experience in bioinformatics is highly desirable. - A strong publication record. - Proven
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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