68 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at Nature Careers in United States
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. Customized Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes
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programming or scripting (e.g., Python, Bash, or similar) for workflow automation and data analysis. Familiarity with common tools for structure-based molecular modeling or virtual Ability to think critically
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programming languages (e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability
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, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Experience in cellular immunology and
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establish gene expression programs in healthy cells, and how enhancers are altered by mutation, abused by mistargeting, and targetable with drugs in diseased cells. We characterize the specific core
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experience is beneficial Experience with the analysis and interpretation of large data sets, in particular high-throughput sequencing data from eukaryotic organisms Solid skills in programming and scripting
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opportunities for professional development through the CHOP Research Institute are available for customizing future career goals. An option to pursue work under a T32 program may also be available for those
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, we actively promote women in science and in leadership positions. We among others do this through our gender equality plan and the cascade model measures which we actively implement to enable
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, or medicinal and analytical chemistry. These positions present exceptional opportunities to partner with an outstanding clinical urology program in a new institute dedicated to rapidly translating basic
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to genetic, genomic, and clinical data analysis are strongly encouraged to apply. Proficiency in programming languages such as Python or R (C/C++ is a plus). Prior experience working with genomic and other