40 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers in United States
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fellow, you will be empowered to own a project end-to-end, from model design and assay development to data generation, analysis, and publication. You will be immersed in a scientifically rich and
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discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion
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-modal data. This role offers high independence, rapid idea testing, and close collaboration with an interdisciplinary team. If you are excited about tackling problems in complex networks, causal inference
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candidate will possess excellent research, communication, organizational and leadership skills, including detailed recordkeeping, computer literacy, scientific writing and the ability to contribute to method
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discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion
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links to representative publications on PubMed) Summary of your current research and key accomplishments Names and contact information of three references We welcome applicants from diverse backgrounds
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, troubleshooting results, data analysis, writing manuscripts, contributing to grants, and presenting their work at national and international conferences. Specific skillsets include tissue culture, flow cytometry
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graduate students or interns in computational techniques, reproducible workflows, and best practices in data-driven discovery. Contribute to manuscript preparation, grant proposals, and presentations, with
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. Support for fellowship applications and professional development. To Apply Applicants should send (1) a CV with contact information for 2-3 references and (2) a cover letter describing their interest in
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responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through pharmacogenomics