Senior Research Scientist (PREP0004779)

Key responsibilities will include but are not limited to:

  • Developing new AI architectures for meniscus removal using image-to-image regression networks.
  • Create a solution that can generalize the meniscus removal regardless of the content being imaged.
  • Create a model that predicts an image quality metric based on a group of existing blur metrics from the literature and compare that solution with a regular convolutional neural network.
  • Produce high-quality publications based on research and results present at internal and external meetings and conferences.

Qualifications

  • US citizenship is preferred.
  • A PhD degree in Computer Science with 3 or more years of relevant experience.
  • Expertise in PyTorch/Python and state of the Art AI models like vision transformers and advanced CNNs.
  • Ability to build deployable complex software solutions for cell image analysis.
  • Strong oral and written communication skills and strong presentation skills.

Key responsibilities will include but are not limited to:

Qualifications:

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PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.

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