Sponsored by Department of Biotechnology, GoI
Apply before Jun 5, 2023
Data structures in R
Statistical analysis
Data visualisation
Programming in R
Network Analysis
Dimension reduction
Machine learning
Without any prior exposure to coding/statistics, one can learn:
Implementing the basic data analysis techniques
Essentials of R-programming
Introduction to various data visualisation techniques through R-packages
Working with network datasets
Concepts of dimension reduction and code PCA
Learning from data and code perceptron learning algorithm
Introduction to optimisation techniques and code gradient descent
Associate Professor, IISERM
Kuljeet obtained his PhD degree in medicine from Karolinska Institue, Sweden in 2010. He further pursued post-doctoral fellowship at Genome Institute of Singapore and thereafter joined IISER-Mohali in Aug, 2012. He is interested in various questions, particularly pertaining to genome organisation and function, which can be answered within the realm of computational biology. He has extensive experience in statistical data analyses. He has been involved in post-NGS integrative analysis of large scale datasets like Hi-C, ChIA-PET, ChIP-Seq, RNA-Seq, DNAse-Seq, Repli-Seq etc. Kuljeet has been primarily using open source platforms like R and PERL. He routinely teaches data science, bioinformatics, network science, epigenetics and related courses at IISER-Mohali
Associate Professor, IISERM
Shashi obtained his Ph.D. from the Indian Institute of Sciences Bangalore (IISc). He continued his research career as a postdoctoral fellow at Georgia Tech, Atlanta USA, and Genoscope, Evry France. Subsequently, he joined IISER Mohali in June 2012 as an independent PI. His group is involved in understanding the role of protein structures in shaping the molecular evolution of protein function(s). His group addresses questions such as the mechanistic basis of enzyme promiscuity, the mechanical strength of spider silk, single residue mutational effect (s) on allosteric behavior of proteins, proteome, and functional diversity due to alternative splicing. He has extensive experience in large-scale data analyses. In his work, he routinely uses Python and R for such analyses.
Page: https://shashibp-lab.github.io/
Indian Institute of Science Education and Research Mohali envisions a new generation of scientists dedicated to the pursuit of knowledge in frontier areas of basic sciences. In an intellectually vibrant academic environment, IISER Mohali nurtures the basic tenets of science education and research at undergraduate and postgraduate levels. In so doing, the institute aims to emerge as a global centre of learning, academic excellence, and innovative research