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- Universitat de Barcelona
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Field
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Expertise in mRNA-Seq, ChIP-Seq and downstream bioinformatics analysis Experience with genetically engineered animal models for the study of the immune system Excellent organizational, writing and
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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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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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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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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