RaMP: Post-Baccalaureate Training Program in Biomolecular Structure Prediction and Design
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Academic Level: Post-Baccalaureate
Description: Trainees in this geographically distributed RaMP program participate in research using the Rosetta Commons software. The Rosetta Commons software library includes physics-based and deep learning algorithms for biomolecular modeling and design. It has enabled notable scientific advances in computational biology, including de novo protein design, enzyme design, ligand docking, and structure prediction of biological macromolecules and macromolecular complexes.
The RaMP Provides:
Rosetta Code School: where trainees will learn the inner details of the Rosetta Python code and community coding environment, so you are fully prepared to research using the software.
Research experience: Trainees conduct hypothesis-driven research in their Mentor's lab, with day-to-day guidance by an experienced PhD student or postdoc. Scholars participate fully in weekly lab meetings, attend weekly research seminars in their department, attend a vibrant PhD program retreat and a national conference of their choice.
Participation: in the Winter Rosetta Conference, where you will connect with Rosetta developers from around the world.
Compensation: Salary, health benefits, and funding for conference travel are included.
Preparation: for graduate school applications and interviews.
Community: Trainees come together each month for 'Journal Club' events to present and discuss their research with peers and faculty mentors. These meetings include professional development mini-lessons on topics like the NSF-GRFP, graduate school applications, research posters, and more.
Project meetings: Trainees gain confidence by organizing, preparing for, and convening monthly project meetings with the program's PI, Dr. Jeff Gray and Co-PI Dr. Matthew O'Meara. Scholars benefit both scientifically and professionally by building strong working relationships with multiple faculty members who are experts in their field of interest.
Specialized mentoring: Mentors will participate in a four-part Culturally Responsive Mentoring Workshop series that will guide them in increasing their capacity for and self-awareness of culturally responsive mentoring best practices. This series will be facilitated by Steven Thomas. The mentor, co-mentor, and participant will form a 'mentorship triad', a tight interpersonal structure functioning to enhance a student's potential.
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Participating Institution(s):(Click an institution to see all programs it hosts or sponsors)Program Materials:This Program can be Described by:Academic Disciplines:
Applied Mathematics
Biochemistry
Biology
Cellular Biology
Chemistry
Computational Sciences
Mathematics
Molecular Biology
Physics
STEM Fields
Keywords:
Computational Biology
Computational Modeling
Molecular Biophysics
Molecular Engineering
Protein Chemistry
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This program is funded by:
National Science Foundation (NSF)
Page last updated 2/20/2024
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