NSF-RaMP: from genomes to genomic novelty to phenotypes: an integrative training framework
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Academic Level: Post-Baccalaureate
Description: This program offers an opportunity to join a cohort of new researchers for a full year of research training in a supportive environment with personalized mentorship, networking, and guidance in developing professional skills. All research takes places on the University of Connecticut campus in Storrs. Trainees are supported by a stipend of $32,500, reflecting a full-time commitment. The program is designed to prepare participants for a diversity of STEM careers and provides guidance for entering directly into the workforce or for pursuing further research training.
The theme 'connecting genomic novelty to phenotype' promotes integrated training through both a cohort-based collaborative project assembling and annotating genomes and individualized laboratory training experiences on the functions of new genomic elements. All participants will gain skills in computational biology and molecular "wet lab" methods.
The program is aimed at individuals who did not have sufficient (or any) opportunity for research as an undergraduate. Individuals who are first-generation college students, students from low-income households, and those from groups historically excluded from STEM are encouraged to apply.
NSF eligibility requirements specify that applicants must have earned a BA or BS degree in biology or a related field (broadly defined) no later than the program start date and no earlier than 4 years before they apply.
Participating Institution(s):(Click an institution to see all programs it hosts)Program Materials:This Program can be Described by:Academic Disciplines:
Bioinformatics & Genomics
Biology
Biotechnology
Ecology & Evolution
Entomology
Genetics & Genomics
Molecular Biology
Keywords:
Big Data Science
Bioinformatics
Chromosome Biology
Comparative Genomics
Computational Genomics
DNA research
Evolutionary Biology
Functional Genomics
Genomic Analysis
Molecular Genetics
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This program is funded by:
National Science Foundation (NSF)
Page last updated 4/4/2023
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