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of Experimental Biology, PAS Type of recruitment: NCN Maestro Requirements: Education: PhD in Neuroscience or Bioinformatics; Professional experience: behavioral and/or molecular neuroscience; or bioinformatics
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, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in second-generation sequencing analyses (RNA
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required for this position. More About This Job Required Qualifications: The successful applicant will hold, or shortly expect to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
academic year. Minimum Education and Experience Requirements Ph.D. (or foreign equivalent) in statistics, mathematics, biostatistics, bioinformatics, computational biology, or a related field
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statistics and data analysis, bioinformatics, microbiology, and molecular biology. Interested candidates should send an email to Carla Taddei (crtaddei@usp.br ), a professor at ICB-USP and co-PI
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molecular biology and bioinformatics for microRNA and gene expression analysis, including experimental validation and integration with target genes and biological pathways. Experience or interest in antibody
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or bioinformatics strong publication record relative to career stage ability to work independently and collaboratively in an international research environment proficiency in English LanguagesENGLISHLevelGood
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% Writing: Contribute to scientific manuscripts, progress reports, and collaborative research efforts. 5% Professional Development. Requirements PhD Degree in computational biology, bioinformatics
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sciences; experience in human genetic data analysis and bioinformatics applied to Neuroscience, preferably in Psychiatry, including genotyping or WES/WGS data; experience in genetic association studies (GWAS
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python