Careers

Posted March 27, 2021

One postdoctoral fellowships in Dr. Van Obberghen-Schilling's Lab, Institute of Biology Valrose, Université Côte d’Azur (UCA).

3IA Côte d’Azur Research Axis : AI for Computational Biology and Bio-Inspired AI
Applications are invited for a 2-year 3iA Côte d’Azur postdoctoral position in tumor/ECM biology to study functional and structural features of the extracellular matrix (ECM) in the immunosuppressive tumor microenvironment of head and neck cancer. Immunomodulatory therapies are promising for this tumor type, yet resistance rates are high since less than 20% of patients respond. We are specifically interested in exploring the tumor ECM environment, together with immune cell signatures, for gaining mechanistic insights into invasive disease and resistance to immunotherapy. Our previous work on ECM topology based on confocal images of cell-derived ECM has provided a framework for quantitative description and modeling of matrix features associated with disease states. The present project involves quantitative characterization of ECM architecture in in vitro models and human tumor tissue using multiplex immunofluorescence imaging, empowered by deep learning approaches.
For more information visit this link.

 

Posted November 27, 2020

Two NIH-funded postdoctoral fellowships in Dr. Iozzo's Lab, Thomas Jefferson University, Philadelphia PA

The positions require a Ph.D. and/or an M.D. and focus on the biology of two major proteoglycans: decorin and perlecan and their consequent effects on tumor angiogenesis, autophagy, stress signaling cascade, and mitophagy (1-7). The fellows will join an exciting and energetic team of researchers using state-of-the-art techniques in an innovative, collaborative environment that has led to several groundbreaking discoveries over the last three decades. Our focus is to investigate the mechanisms of action of the proteoglycans mentioned above in regulating the tumor microenvironment by altering catabolism, cell signaling, and angiogenesis, ultimately counteracting tumor growth (see figure below). The ideal candidates will have technical expertise in cell-based assays, qPCR, protein expression (e.g., ELISA, Western blot), cell migration/invasion assays, cancer mouse models, and confocal analysis. We are looking for candidates with acute attention to details, proficient reasoning skills in experimental design, execution, data analysis, statistical methods (GraphPad or SigmaPlot), and interpretation. Excellent written and verbal communication skills are also required. If you are interested, please submit your C.V. and three letters of reference to Renato V. Iozzo renato.iozzo@jefferson.edu.