Sarder Lab in the department of Pathology & Anatomical Sciences at the University at Buffalo is looking for a Post-Doctoral Research Associate for conducting research on large scale image analysis of renal tissue histology data available at GTEx web portal: https://www.gtexportal.org/home/. The tissue histology images are available at: https://www.gtexportal.org/home/histologyPage. Work will include renal micro-compartment segmentation, artifact finding in autopsy tissue image data, as well as conducting human artificial intelligence loop study to computationally study renal tissue histology.
Successful candidate should have background in computation, particularly, in digital pathology or in similar domain. Candidate should have experience in deep neural networks, recursive neural networks, as well as in cycle consistent adversarial networks. Responsibility includes conducting research in the above area, develop end-user software, including developing web interface, write publications, and attend conference meetings.
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All post doctoral applicants must have their PhD. Applicants must have a PhD degree at start date and have demonstrated excellent qualifications in research.
Background in computation, programming skills in python, knowledge in machine learning, and experience in deep neural networks, recursive neural networks, as well as in cycle consistent adversarial networks.