Python-Network Science Internship (Part time/Remote)

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Python-Network Science
Start Date
Starts immediatelyImmediately
Duration
2 Months
Stipend
₹ 3,000 /month
APPLY BY
28 Jul' 20
Posted 3 weeks ago
Internship
Part time

About the work from home job/internship

Selected intern's day-to-day responsibilities include:

1. Working on application development in Python using Graph Theory and Network Science fundamentals
2. Working on Python application for writing code to develop solutions in the network science area using NetworkX package
3. Calculating centrality measures
4. Using Gephi to explore communities and modularity
5. Performing background research as guided

Skill(s) required

Data Analytics Data Science Machine Learning Python

Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 28th Jun'20 and 2nd Aug'20

3. are available for duration of 2 months

4. have relevant skills and interests

Added requirements

1. Must have a good knowledge of data science, academic publishing, etc.

2. Must have intermediate to advanced skills in Python

3. Should be open to learning Python packages such as NetworkX, MetaKnowledge, etc.

Perks

Certificate Letter of recommendation
Additional information

We would have weekly office meetings. Hence, applying candidates must be available to come to the office once a week.

Number of openings

1

About CogniAble

CogniAble is an organization working with children diagnosed with autism and other developmental disorders. It uses evidence-based teaching methods such as applied behavior analysis (ABA) and cognitive behavior therapy (CBT), integrated with advanced data sciences methodology. The integration of best clinical practices with machine learning & artificial intelligence technologies offers a high-quality treatment program to parents and schools. CogniAble is an artificial intelligence-based platform that enables affordable and evidence-based intervention services for schools and parents.
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