Postdoctoral Researcher in Deep Learning

2 hours ago


Irvine, California, United States University Of California Irvine Full time
Position Overview

We are seeking a highly motivated Postdoctoral Scholar to join our Computational Medicine Lab at the University of California, Irvine. The successful candidate will have a strong background in computer science, biomedical engineering, or statistics, and will be responsible for developing novel AI-based medical imaging technology for digital biopsies.

Responsibilities
  • Manage, process, and visualize high-parameter medical images and associated clinical labels and molecular profiles for training, validation, and interpretation of interpretable deep neural networks.
  • Develop and interpret generative deep neural networks for automating tissue-based analyses and interrogating basic biological features and proximity relationships between tissue constituents.
  • Collaborate with the lab team to design and implement machine learning algorithms for image processing and analysis.
  • Contribute to the development of software tools and pipelines for data processing and visualization.
  • Present research findings at conferences and workshops, and publish papers in top-tier journals and conferences.
Requirements
  • Ph.D. or foreign equivalent in computer science, biomedical engineering, or statistics.
  • Strong background in machine learning, computer vision, and image processing.
  • Experience with deep learning libraries such as TensorFlow, PyTorch, or Keras.
  • Excellent programming skills in Python, MATLAB, or C++.
  • Strong analytical and organizational skills, with attention to detail.
What We Offer

The University of California, Irvine offers a competitive salary range of $64,480-$77,327, as well as opportunities for professional development and growth. The successful candidate will be part of a dynamic and collaborative research team, with access to state-of-the-art facilities and resources.

We are an equal opportunity employer and welcome applications from diverse candidates. To apply, please submit your CV, cover letter, and a statement of research interests to our online application system. We look forward to hearing from you



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