Postdoctoral Researcher in Deep Learning

2 weeks ago


Irvine, California, United States University Of California Irvine Full time
Job Title:

Postdoctoral Scholar in Deep Learning

Job Summary:

We are seeking a highly motivated and experienced Postdoctoral Scholar to join our computational medicine lab at the University of California, Irvine. The successful candidate will have a strong background in deep learning and a passion for developing novel AI-based medical imaging technology for digital biopsies.

Responsibilities:
  • Develop and interpret generative deep neural networks (DNNs) for automating tissue-based analyses
  • Manage, process, and visualize high-parameter medical images and associated clinical labels
  • Train and validate interpretable DNNs for clinical utility
  • Collaborate with the research team to publish research papers in top biomedical journals and machine learning conferences
Requirements:
  • Ph.D. or equivalent in computer science, biomedical engineering, or statistics
  • Strong background in deep learning and machine learning
  • Experience with deep learning libraries such as OpenCV, Theano, Caffe, Keras, and TensorFlow
  • Excellent analytical and organizational skills
  • Ability to work in a team-oriented environment
What We Offer:
  • Opportunities to publish research papers in top biomedical journals and machine learning conferences
  • Collaboration with a team of experienced researchers
  • Training in fellowship writing, teaching/mentoring, oral presentations, and review of manuscripts
  • Competitive salary and benefits package
How to Apply:

Please submit your application through UC Irvine's RECRUIT system at https://recruit.ap.uci.edu/JPF08091

Equal Opportunity Employer:

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.



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