





UConn RaMP is the yearlong Research Training Program for recent graduates with a primary focus on first generation college students, individuals from groups underrepresented in STEM, and students at institutions with limited resources. Our mission is to equip scholars with a comprehensive skill set that encompasses both research and professional skills, in preparation for successful careers in STEM. No prior laboratory experience is necessary; all that's required is a strong passion for learning and a solid work ethic.
Our program offers a unique blend of structured cohort-based learning and individualized research experiences. Through this approach, we strive to create a collaborative environment that integrates scholars, dedicated research mentors, and a network of partners. Together, we form a research community devoted to the exploration of genomic novelty and its impact on phenotype.
Applications for the 2024 cohort will be available October 2023!
News
- Apply to join the first class!Applications for the UConn/SCSU RAMP program on genomic novelty are open! Due on March 31st!Posted on March 8, 2023
- UConn, SCSU Partner on Postgrad Research ProgramFeatured in UConn Today! The NSF-funded program will help participants learn skills to be more competitive and prepared for jobs in fields like biotechnologyPosted on December 20, 2022
Our RaMPers ended their month long "bridge to research" last week by enjoying a trip to the Mystic Aquarium where they received a behind the scenes tour of the facilities, a chance to feed stingrays and more! Thanks @mysticaquarium!
🐡🐠🐟 #RaMP #uconn #nsffunded #nsf
Lab, lab and more lab! 🥼 Our Scholars are wrapping up the second week of the Bridge to research. This week was spent learning about pipetting, PCR, and transformations mixed in with some cohort bonding activities and more. #RaMP #UConn #nsf #science #genomics
Today marks the beginning of the second week of our Bridge program and the introduction to wet lab skills! Today is all about DNA extractions. 🧬🥼 #nsf #RaMP #UConn