Opportunities for post-doctoral research in Computational Oncology
Applications are invited for a Postdoctoral Research Fellowship in the Institute for Computational and Engineering Sciences at The University of Texas at Austin. The openings are for post-doctoral scholars to develop algorithms and techniques for modeling and predicting tumor growth and treatment response. The successful applicant(s) will join a highly collaborative, multi-disciplinary team (The Center for Computational Oncology, led by Dr. Tom Yankeelov) and have the opportunity to work on all aspects of tumor modeling, from theory to experiment. For more information on the position and projects of interest, please do not hesitate to contact:
Thomas Yankeelov, Ph.D.
W. A “Tex” Moncrief, Jr., Simulation-Based Engineering and Sciences
Professorship II - Computational Oncology
Institute for Computational Engineering & Sciences
Professor of Biomedical Engineering
The University of Texas at Austin
Applicants must have a Ph.D. in computational sciences, engineering, physics, systems/computational biology, or a related field with a strong background in numerical solutions of partial differential equations. Experience in biomedical imaging and/or cancer biology is highly desirable.
How to Apply
Interested applicants should send a cover letter, 500 word statement of research interests, current CV, and a list of three references as a single PDF file to firstname.lastname@example.org
The University of Texas at Austin is an Equal Employment Opportunity/Affirmative Action Employer. This job is a security-sensitive position.