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Research Scientist

Buffalo, New York ~ January 10, 2022

Sarder Lab in UB is looking for a motivated individual to work on large scale data analytics of renal tissue histology brightfield and fluorescence microscopy image data. Work will include detection, segmentation, and quantification of structures in renal tissue images, predictive modeling of diseases, as well as image and molecular omics data fusion. Successful candidate should have background in computation, data science, and machine learning, including in deep neural network models. 
Responsibilities include conducting research in the above area, write publications, attend conference meetings, and guide PhD students in the lab.
Sarder Lab in UB is looking for a motivated individual to work on:
  • Large scale data analytics of renal tissue histology brightfield microscopy images
  • Fluorescence image data
Outstanding Benefits Package
Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit – all in an effort to support your work-life effectiveness. Visit our benefits website to learn about our benefit packages
About UB
The University at Buffalo is SUNY’s most comprehensive public research university, and an outstanding place to work. UB amplifies ambition for faculty and staff by offering endless possibilities to achieve more. Here, people from all backgrounds and cultures challenge and inspire each other to discover, learn and succeed. Dedicated staff and engaged faculty collaborate to further knowledge and understanding, and develop tenacious graduates who are valued for their talents and their impact on global society. Visit our website to learn more about the University at Buffalo.
As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. 

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