Jawaharlal Nehru University School of ...
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Jawaharlal Nehru University School of Computational and Integtrative Sciences is situated at School of Computational and Integrative Sciences (SC&IS) Jawaharlal Nehru University New Delhi - 110067, INDIA in New Delhi.
- 2 Years
- M.Sc. + PhD
- 1 Years
- Master of Phillosophy-M. Phil.
- 5 Years
- Doctor of Philosophy-Ph.D
Jawaharlal Nehru University School of Computational and Integtrative Sciences - JNUSCIS
The School of Computational and Integrative Sciences (SC&IS) has the mandate to promote inter-disciplinary goal-oriented research and innovate in the areas broadly related to computational sciences, such as computational & systems biology; biophysics & simulations, artificial intelligence & neural systems; high density data analysis using mathematics and statistics and expand into other areas in quantitative sciences including economics, finance, neurobiology and epidemiology.The School of Computational and Integrative Sciences since 2010 was the culmination of the progress made by the DBT supported Bioinformatics Centre-BIC, since the year 1989 and its up-gradation to the School of Information Technology (SIT) in 2001. The School is recognized by the Department of Biotechnology (DBT) as a Centre of Excellence (COE) in Computational Biology & Bioinformatics and by the University Grants Commission (UGC), in its XI Plan, as a Centre for Complex Systems Studies. An initial effort of the School to provide services through BIC was augmented by the Communication and Information Services (CIS) which facilitates electronic communication, internet facilities, video meetings etc and the High Performance Computational Facility, which scaled computational infrastructure required for the entire university.The academic program of the SC&IS is focused on the core area of Computational and Systems Biology. Efforts are on to understand the Complex-biological, social and economic-Systems with the computational strength within the School and innovate in integrative understanding of such systems. The School offers at the moment a two year M.Tech program in the broad area of Computational and Systems Biology. The pre-Ph.D./Ph.D. programs are geared towards the faculty driven research activities in the areas of: comparative genomics, structural biology, biophysics, in-silico drug design, biological evolution, bio-molecular simulations, data mining & analysis of large scale data, systems biology, robotics, complex systems & artificial intelligence.
Why join Jawaharlal Nehru University School of Computational and Integtrative Sciences
JNU ranked in top 100 in Times Higher Education Asia and BRICS Top Ranking.
The institute has well defined facilities.
3 Type Courses Available
- 2 PG Courses
- 1 phd Courses
Jawaharlal Nehru University School of Computational and Integtrative Sciences Placements
Jawaharlal Nehru University Placement Cell (JNUPC) was opened in the year 2008, and we are happy to inform that since then we are securing our students future. JNUPC will uphold the quality of the education and the social responsibility by giving a respectful job and opportunities to its students. Under JNUPC numerous programme will be organised to improve student's skill. JNUPC will try to place all the students who are seeking a respected opportunity to get engaged in government institutions, non-government institutions and other organizations.
Availability of a High Performance Computing Facility (HPCF) and dedicated high speed connectivity has been established by the School to attend to the needs of teaching and research. Students and research scholars are provided with individual work-stations, using diverse software and hardware resources round the clock. A small library with a good collection of specialized books and journals is also in place. Scientific literature is accessible through the JNU library portal which updates the databases from time to time, keeping in view the research needs. Processes are underway to establish a core group on Computational Modeling to develop simplified description of a system that could be useful for simulation or analysis, enabling to identify patterns that underlie these inter-related systems. Properties, such as emergence, evolution, network, structure and dynamics of the systems are proposed to be investigated in a collaborative environment.
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