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.
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.
Candidates should send as soon as possible an e-mail with a motivation letter, CV and brief academic records to:
Dr. Núria Gavara
ngavara@ub.edu
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- Ciudad : Barcelona
- Organización : Biophysics and Bioengineering Unit School of Medicine and Health Sciences - University of Barcelona