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Recent advances in computational power and computational methods have led to the paradigm of 'computational thinking' which takes applications of computer science far beyond mere programming and data management. Computational Natural Science provides newer methods for understanding the functioning of complex physical, chemical and biological systems.
Research in the area of computational natural sciences is an exciting and rapidly emerging career option for science graduates who have an aptitude for mathematics and computations. The domains of computational sciences and bioinformatics provide research challenges for both computer scientists as well as for researchers trained in basic sciences.
Subareas
- Chemical dynamics and quantum electronic structure analyis
- Computational studies of structures, interactions and dynamics of biomolecules such as proteins, RNA and DNA
- Bioinformatics and systems biology: algorithm and database development for genomics, proteomics and metabolomics
- Nanotechnology: Synthesis, Characterization and Surface Modification of Nanomaterials and Their Applications
- Theoretical studies in chemical, biological and material science for simulating equilibrium and non-equlibrium processes
Teaching Programmes (associated with Computational Natural Sciences and Bioinformatics)
- Post B.Sc Dual Degree Program
- Post B.Sc Dual Degree Program
- M.Tech in Bioinformatics
- MS in Bioinformatics
- MS in Computational Natural Sciences
- Ph.D in Computational Natural Sciences or Bioinformatics
- M.Sc in Computational Natural Sciences
Faculty
- Prabhakar Bhimalapuram
- Marimuthu Krishnan
- Abhijit Mitra
- Nita Parekh
- U Deva Priyakumar
- S V Ramanan
- Tapan Kumar Sau
- Harjinder Singh
(Head)
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