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Structure Prediction - Data Science Work from home Internship at CSIR-CDRi

Structure Prediction - Data Science


Work From Home

Start Date Duration Stipend Posted On Apply By
6 Months Unpaid 22 Jul'17 25 Aug'17
The Central Drug Research Institute (CDRI) is a multidisciplinary research laboratory in Lucknow, India, employing scientific personnel from various areas of biomedical sciences. It is one of the first laboratories to be established in India right after its independence. CDRI is among the thirty-nine laboratories that are functioning under the aegis of the Council of Scientific and Industrial Research (CSIR) of India. CDRI was formally inaugurated on 17 February 1951 by the then Prime Minister of India, Pt. Jawahar Lal Nehru.
About the Internship:
The selected intern will work on the following during the internship:

1. Python programming
2. Data visualization - For writing a paper, presenting your results is the most important thing. Hence, you need to thoroughly learn Matplotlib and Seaborn which are popular data visualization libraries in Python and are essential to our work. You should know how to plot bar graphs, line graphs, scatter plots and heatmaps, to say the least. You should know how to arrange multiple plots in one figure. Further, you should also have a strong sense of what are the best ways to present different kinds of data
3. Statistics - Concepts of hypothesis testing, significance testing, correlations, descriptive statistics and predictive statistics
4. Signal processing. Eg; - Fourier and Wavelet transform
5. AI - You should know beginner level AI approaches for regressions, classifications, and clustering. Further, they should be able to implement this approaches on Python
# of Internships available: 15
Who can apply:
Only those candidates can apply who:
  1. are available for work from home internship
  2. can start the internship between 21st Jul'17 and 25th Aug'17
  3. are available for duration of 6 months
  4. have relevant skills and interests
Certificate, Letter of recommendation, Flexible work hours, 5 days a week.

Applications are closed for this internship. Click here to browse more internships.