David D. Tran’s group at University of Southern California (USC) Brain Tumor Center at USC seeks postdocs and fellows

Scholarship: Fully funded
Degree:  PhD
Nationality: International Students
Location: USA
Application deadlines: Open

Scholarship Description:

David D. Tran and his group recently relocated to the Keck School of Medicine at the University of Southern California (USC) as Professor of Neurosurgery/Neurology, Director of the Division of Neuro-Oncology and Co-Director of the USC Brain Tumor Center. Research in the Tran lab focuses on understanding the molecular mechanisms of how cancer develops, progresses and resists treatment through an integrated approach from clinical observations to systems and computational biology to animal models and quantitative molecular validation, with the ultimate goal of returning to human patients to develop new, safe and effective anti-cancer therapies. The lab is well funded and plans to recruit 3-4 post-docs or fellows.

Located in the City of Angels, Los Angeles, USC is a world-renowned private research university. The latest U.S. News National University Rankings ranked it 25th overall, 28th for the Keck School of Medicine and 18th for the Norris Cancer Centre.

 Available Subjects:

  • Postdoctoral (Biomedical field)
  • Postdoctoral/Researcher (Computer Biology)

Eligibility criteria:

  • Applicants should have a biology-related PhD or MD with experience in animal modelling, molecular biology, immunology and microscopy. The candidate should be motivated and responsible; have the ability to carry out independent research under the supervision of the PI; have enthusiasm for research, be enterprising, have good communication skills and be a team player.
  • Candidates need to have strong experience in applying ML/AI to solve biological problems. Strong expertise in advanced statistics and AI/ML, with first authorship of papers in SCI journals preferred. The candidate will analyse and develop cancer development models and patient survival single cell RNA sequencing, multi-omics NGS, and clinical and biomedical data generated by the Brain Tumour Centre laboratory and public repositories. The candidate will be continuously updated with the latest developments in computational biology and the latest techniques in AI/ML/DL algorithms and research results.

Application Procedure:

The position is for 3 years, with the possibility of extension at the end of the term and support for immigration applications. We offer a competitive salary and benefits. Compensation will be based on NIH guidelines with cost of living adjustments based on experience. To apply, please send an email to [email protected] with a current CV and contact details of 3 references, as well as a brief description of your training background and career plans.