This Health Research Program opportunity is with Dr. Paola Vera-Licona, Center for Cell Analysis and Modeling, Center for Quantitative Medicine.
Project Description: This summer, our lab offers a unique opportunity for an undergraduate student to engage in computational systems biology research. The project, tailored to align with your academic interests and background, allows you to choose between two key areas: cancer research (e.g., cancer malignancy reversion) or aging studies (e.g., reversing senesce in aged pancreatic beta cells). Utilizing multiomics data, you will learn to model and analyze signaling regulatory networks, employing our in-house software NETISCE, and other computational tools. Your tasks will include (1) network construction and analysis using various omics datasets, (2) applying computational methods for cell reprogramming, and (3) collaborative interpretation and discussion of results.
For full details about this Health Research Program opportunity, visit https://ugradresearch.uconn.edu/hrp/su24-36
For full details about the Health Research Program, visit ugradresearch.uconn.edu/hrp/
Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application. Before proceeding with your submission, please review their terms and privacy statements linked below.
HRP SU24-36: Research Opportunity with Dr. Paola Vera-Licona
This Health Research Program opportunity is with Dr. Paola Vera-Licona, Center for Cell Analysis and Modeling, Center for Quantitative Medicine.
Project Description: This summer, our lab offers a unique opportunity for an undergraduate student to engage in computational systems biology research. The project, tailored to align with your academic interests and background, allows you to choose between two key areas: cancer research (e.g., cancer malignancy reversion) or aging studies (e.g., reversing senesce in aged pancreatic beta cells). Utilizing multiomics data, you will learn to model and analyze signaling regulatory networks, employing our in-house software NETISCE, and other computational tools. Your tasks will include (1) network construction and analysis using various omics datasets, (2) applying computational methods for cell reprogramming, and (3) collaborative interpretation and discussion of results.
For full details about this Health Research Program opportunity, visit https://ugradresearch.uconn.edu/hrp/su24-36
For full details about the Health Research Program, visit ugradresearch.uconn.edu/hrp/
Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application. Before proceeding with your submission, please review their terms and privacy statements linked below.