• Columbia University - Postdoctoral positions are available in Alberto Ciccia’s laboratory in the Department of Genetics and Development.  Interested candidates with Ph.D., M.D. or equivalent degrees are encouraged to apply by March 15, 2024. Experience in molecular and cell biology, genetics or computational biology, and first-author publications are preferred. To apply for this position, please submit a cover letter describing research experience and interests, CV and contact information of three references to: Alberto Ciccia: [email protected].  (posted 2/19/2024)
  • The Advanced Research Projects Agency – Energy (ARPA-E) is currently recruiting new Fellows! ARPA-E is an agency within the Department of Energy that funds high-risk, high-impact energy technologies. We are looking for creative early-career scientists and engineers to help direct the future of American energy innovation. The ARPA-E Fellowship is a prestigious, two-year, full-time, paid federal position in Washington, D.C. The position is open to current U.S. citizens who have received a STEM Ph.D. within the last five years or plan to defend within the next one year. Applications will be reviewed on a rolling basis. Apply here today (posted 3/29/2024)
  • The Muhlenberg College Department of Biology invites applications for a Visiting Assistant Professor position in Biochemistry or Molecular Biology for the 2024-2025 academic year. Apply here  (posted 4/4/2024)
  • The Qiu lab at Stanford University (a brand-new lab just launched three months ago), which is dedicated to pushing the boundaries of genomics and machine learning to advance human health and treat diseases, is looking for talented post-docs to join our vibrant team. The lab's current research focuses on pioneering spatial transcriptomics, single-cell multi-omics, while integrating novel machine learning models, such as RNA velocity models, graph neural networks, foundation models and other generative AI. We are particularly interested in the applications of these technologies in heart development and disease. As we build our team, we are looking for talented postdoctoral candidates who are eager to explore the interface of spatial and single-cell genomics with machine learning. Ideal candidates will have a strong background in experimental techniques and a keen interest in applying these skills to complex biological systems (We also welcome exceptional talents in computational biology / machine learning as well). We offer the unique opportunity to work in a dynamic and innovative environment, with possibilities for co-mentorship with other leading genomics labs at Stanford, such as those of Mike Bassik, Howard Chang, and Mike Snyder, among others. For those interested, please visit our lab's website for more information and application details: https://www.devo-evo.com/research (posted 4/16/2024)