The PhD project will study the biophysical biomarkers that characterize and describe the activation state of tumor-associated fibroblasts in lung cancer, and develop methods based on image quantification of the cytoskeleton and machine learning that can be later used in drug screening strategies against lung cancer. The successful candidate will work with advanced biophysical techniques including: Image quantification, Atomic Force Microscopy and Traction Microscopy and use their outputs in machine learning algorithms for the detection of cancer-associated cells. The project will also involve the use of biomimetic soft scaffolds produced from decellularized lung tissue and the testing of a small drug panel with potential against lung cancer.
The successful applicant will work under the supervision of Dr. Núria Gavara, within the Biophysics and Bioengineering Unit. The Unit is focused on bioengineering with a multiscale approach ranging from cell to organ. The particular interests of Dr. Gavara are on the mechanobiology of the cytoskeleton an its potential in understanding and diagnosing physio- and pathological states.
This is a 3-year predoc position within a funded research project and its anticipated starting date is autumn 2021. We are seeking a highly motivated individual with a strong interest in multidisciplinary research, interested in using and developing cutting-edge biophysical tools to investigate translationally or clinically-focused problems on respiratory pathology or cancer and potential translation to industry. He/she is expected to hold a Master’s degree in physics, engineering of related topics (or to obtain the degree by July 2021). Programming skills and knowledge of image processing or machine learning will be highly valued.
Candidates should send by end of June 2021 an e-mail with an application letter, CV and two reference letters to:
Prof. Ramon Farré or Dr. Núria Gavara
email@example.com or firstname.lastname@example.org
- Ciudad : Barcelona
- Organización : Biophysics and Bioengineering Unit - School of Medicine and Health Sciences - University of Barcelona