Computational and Systems Biology PhD Program Computational and Systems Biology The field of computational and systems biology represents a synthesis of ideas and approaches from the life sciences, physical sciences, computer science, and engineering. Recent advances in biology, including the human genome project and massively parallel approaches to probing biological samples, have created new opportunities to understand biological problems from a systems perspective. Systems modeling and design are well established in engineering disciplines but are newer in biology. Advances in computational and systems biology require multidisciplinary teams with skill in applying principles and tools from engineering and computer science to solve problems in biology and medicine.
Computational and Systems Biology PhD Program Computational and Systems Biology The field of computational and systems biology represents a synthesis of ideas and approaches from the life sciences, physical sciences, computer science, and engineering.
Recent advances in biology, including the human genome project and massively parallel approaches to probing biological samples, have created new opportunities to understand biological problems from a systems perspective.
Systems modeling and design are well established in engineering disciplines but are newer in biology. Advances in computational and systems biology require multidisciplinary teams with skill in applying principles and tools from engineering and computer science to solve problems in biology and medicine.
To provide education in this emerging field, the Computational and Systems Biology CSB program integrates MIT's world-renowned disciplines in biology, engineering, mathematics, and computer science.
Graduates of the program are uniquely prepared to make novel discoveries, develop new methods, and establish new paradigms. They are also well-positioned to assume critical leadership roles in both academia and industry, where this field is becoming increasingly important. In many research programs, systematic data collection is used to create detailed molecular- or cellular-level descriptions of a system in one or more defined states.
Given the complexity of biological systems and the number of interacting components and parameters, system modeling is often conducted with the aim of distilling the essential or most important subsystems, components, and parameters, and of obtaining simplified models that retain the ability to accurately predict system behavior under a wide range of conditions.
Distillation of the system can increase the interpretability of the models in relation to evolutionary and engineering principles such as robustness, modularity, and evolvability.
The resulting models may also serve to facilitate rational design of perturbations to test understanding of the system or to change system behavior e.
These investigators span nearly all departments in the School of Science and the School of Engineering, providing CSB students the opportunity to pursue thesis research in a wide variety of different laboratories.
It is also possible for students to arrange collaborative thesis projects with joint supervision by faculty members with different areas of expertise. Areas of active research include computational biology and bioinformatics, gene and protein networks, regulatory genomics, molecular biophysics, instrumentation engineering, cell and tissue engineering, predictive toxicology and metabolic engineering, imaging and image informatics, nanobiology and microsystems, biological design and synthetic biology, neurosystems biology, and cancer biology.
The program integrates biology, engineering, and computation to address complex problems in biological systems, and CSB PhD students have the opportunity to work with CSBi faculty from across the Institute.
The curriculum has a strong emphasis on foundational material to encourage students to become creators of future tools and technologies, rather than merely practitioners of current approaches.
Applicants must have an undergraduate degree in biology or a related fieldbioinformatics, chemistry, computer science, mathematics, statistics, physics, or an engineering discipline, with dual-emphasis degrees encouraged.
CSB Graduate Education All students pursue a core curriculum that includes classes in biology and computational biology, along with a class in computational and systems biology based on the scientific literature.
Advanced electives in science and engineering enhance both the breadth and depth of each student's education. During their first year, in addition to coursework, students carry out rotations in multiple research groups to gain a broader exposure to work at the frontier of this field, and to identify a suitable laboratory in which to conduct thesis research.
CSB students also serve as teaching assistants during one semester in the second year to further develop their teaching and communication skills and facilitate their interactions across disciplines.
Students also participate in training in the responsible conduct of research to prepare them for the complexities and demands of modern scientific research.Overview. The main objective of the Computational Biology PhD is to train the next generation of scientists who are both passionate about exploring the interface of computation and biology, and committed to functioning at a high level in both computational and biological fields.
Find A PhD. Search Funded PhD Projects, Programs & Scholarships in Computational Biology in the UK. Search for PhD funding, scholarships & studentships in the UK, Europe and around the world. computational biology phd thesis A graduate degree in Bioinformatics and Computational Biology from UI The M.S.
degree will require at least nine credits of thesis research and the Ph.D. degree Applicants should have a bachelors degree in biology, computer science, or a related field, with a minimum GPA of in the last earned degree. Overview Computational Biology (CB) is a growing young graduate field at Cornell, launched in The Center for Computational Molecular Biology offers a Ph.D in Computational Biology through either a Computer Science or BioMed focus dissertation, oral Computational pfmlures.comational biology phd .
Associated FacultyThe graduate field of Computational Biology offers Ph.D.
degrees in the development and application of data-analytical and theoretical methods, mathematical modeling and Contact: Ewy Mathe, PhD Faculty Liaison/10(). Home» Bioinformatics & Systems Biology» Thesis Archive. Suchit Jhunjhunwala Ph.D., Biology with a specialization in Bioinformatics () Max Chang Ph.D., Bioinformatics () Computational Structure-Based Methods to Anticipate HIV Drug Resistance Evolution and Accelerate Inhibitor Discovery.