THSTI jobs for Data Scientist in Gurgaon. Last Date to apply: 31 Jan 2021
Job Description
RECRUITMENT NOTICE NO. : THSIRN/31/2020
1. Name of the Position: Data Scientist- Computer Vision
2. No. of Position: One position
3. Maximum monthly consolidated emoluments: Upto Rs. 50,000
4. Minimum Qualification: B Tech/BE or equivalent degree in Computer Science/ IT /Biomedical Engineering/ Engineering/ Medical Electronics/ Electronics & Communication/ or an Engineering degree where computational analysis methods development was a major component of the degree
5. Experience: Practical experience in any algorithm related to Artificial Intelligence or Machine Learning processing Any experience preferably in Python/ MATLAB or any other software Programming in front end and back ends Willingness to learn and explore image processing algorithm development
6. Desirable: Post-graduate or doctoral degree in the above disciplines, Experience of machine learning and knowledge of deep learning., Interest in healthcare technology research., Experience of actively collaborating in the development of research articles for publication; Knowledge of Tensorflow. Experience in working on inter-disciplinary research
7. Job Description: Building AI models for image segmentation, object detection and classification. Training will be provided by University of Oxford on image analysis methods development.
a) Building automated data management pipelines for videos collected in CALOPUS project.
b) Attend and present work at CALOPUS project meetings.
8. Additional duties: Signed commitment to be engaged throughout the project duration (The end date is 31/01/2022)
Age Limit:
35 years
Job Particulars
Role engineer core non it
Education BE/B.Tech
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id1095334
Job Category Core Technical , Govt Jobs
Locality Address
State Haryana
Country India
About Company
The Translational Health Science and Technology Institute (THSTI), part of an emerging health biotech science cluster, is an ambitious initiative which creates the unique institutional environment for the conduct of truly multidisciplinary research that translates scientific and technological advancements into medical innovations that will improve public health.
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