JRF- Cotton University

February 22, 2023
31000 - 31000 / month

Job Overview

  • Date Posted
    February 22, 2023
  • Job Location
  • Offered Salary
    31000 - 31000 / month
  • Expiration date
    March 24, 2023
  • Experience
    2 Years
  • Gender
    Both
  • Qualification
    M.Tech
  • No of Positions
    1

Job Description

Applications are invited from eligible candidates with Bio-data and photocopies of testimonials for a post of JRF and Lab Technician, in a project funded by DST SERB under Core Research Grant (CRG) scheme, entitled ” Al-based Automated Decision Support System for the Detection and Grading of Oral Squamous Cell Carcinoma from H&E stained Biopsy (Histopathology microscopic images using Machine Learning, Deep learning, and image processing approach)” (CRG/2022/004028/EEC), under the supervision of Dr. Kangkana Bora, Assistant Professor, Dept, of Computer Science and Information technology, Cotton University. Interested candidate should email their bio-data to the undersigned within 7 days from the date of publication of this advertisement. The interview date will be intimated to the shortlisted candidates by emai1.

Post Graduate degree in professional Courses (MCA/ M.TECH) in first division both at Graduate and Post Graduate level

JRF

Post Graduate degree in professional Courses (MCA/ M.TECH) in first division both at Graduate and Post Graduate level

Gandldates must •tiave minimum of two.years of prio·r experience in the area of application of Al in Bio-medical imaging.

Strong fundamentals in problem solving, algorithm design.

Strong Knowledge in Python programming language (Python)

Knowledge of Machine Learning, Deep Learning techniques, is strongly desirable.

Proven experience with software libraries such PyTorch, Tensorflow, Keraa, Sklearn,Opencv, pandas.

Comprehensive knowledge of Computer Vision Including Generative Models

Proven experience In end to end Al model deployment and comprehensive knowledge In API, Web-application development using DJango or any cross-platform frameworks