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Research Assistant/Associate

0 - 3 years

2 - 5 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Project Overview: Mosquito Larval Swim Kinematics
Mosquitoes are vectors for many diseases. Active surveillance of disease carrying mosquito species can help public health officials prepare for disease outbreaks and target particular locations for control measures. Through this project, we aim to create an automated system that leverages citizen science to facilitate monitoring disease carrying mosquito species.
You will use Computer Vision and Machine Learning techniques to identify and track mosquito larvae from video recordings. You will train artificial neural network models and use them along with other computer vision techniques to identify and track individual larvae and analyse the data to answer scientific questions. You will also collaborate with a software developer to set up a pipeline for automating the process of identifying and tracking larvae from video data.
Key skills: Python, Machine Learning, Convolutional Neural Networks, Computer Vision, Data Analysis
Duration
Initially for one year
Qualification
Bachelor s Degree or higher. People with engineering degrees are encouraged to apply

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CRF - Chest Research Foundation
CRF - Chest Research Foundation

Healthcare / Research

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