quantitative and systems biology
M.S. | PH.D.
The Quantitative and Systems Biology (QSB) Graduate Group at UC Merced offers cross-disciplinary doctoral and masters training to students from many fields in science and engineering, in diverse areas of biological research. With outstanding faculty across seven disciplines, QSB offers unique cross-cutting opportunities to its diverse student body. QSB students train to communicate across boundaries while mastering core disciplines and skills.
QSB invites applications from all aspiring experimental, field and computational biologists who have basic training and experience in one or more core research skills such as laboratory work, fieldwork, mathematical modeling, statistics or computer programming. Students with diverse backgrounds, talents, and interests are encouraged to apply. A non-mandatory rotation track is available to first-year students.
- Biochemistry and Molecular Biology
- Biology Education Research
- Cell and Developmental Biology
- Computational Biology and Bioinformatics
- Ecosystem Ecology
- Evolution of Host-Microbe Interactions
- Mathematical and Theoretical Biology
- Microbial Evolution and Ecology
- Microbiology, Immunology and Infectious Disease
- Molecular Evolution and Genomics
- Molecular Systems Biology
- Organismal and Integrative Biology
- Physical Biology
- Stem Cell Biology and Regeneration
- Population Ecology
- Structural Biology
- Synthetic Biology
- Systems Ecology
quantitative and systems biology at uc merced
QSB aims to increase diversity in the workforce of scientists. In QSB, biologists are encouraged to train across scientific disciplines (e.g. physics, engineering, mathematics), and students in any field of science may train to become biologists. QSB also includes a more conventional Molecular and Cell Biology (MCB) concentration that provides in-depth training in 'wet-lab' experimentation.
QSB faculty collaborate across seven academic units: molecular cell biology, life and environmental sciences, chemistry, physics, applied mathematics, biological engineering and cognitive and information sciences.
Each doctoral student receives a stipend of $24,000 (includes tuition, fees and health insurance) per year. Students in good standing are eligible for year-round financial support, including payment of fees and tuition. Students are typically supported by teaching and research assistantships, which can be supplemented by fellowships, awards and other forms of financial assistance.