Postdoc in MRI Tissue Microstructure & Brain Imaging

Bernard and Irene Schwartz Center for Biomedical Imaging

Northern, New York (KY, NY)

Hybrid

USD 60,000 - 75,000

Full time

41 hours ago
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Job summary

The Bernard and Irene Schwartz Center for Biomedical Imaging invites postdoctoral candidates to join NYU Langone Health's neuroscience imaging efforts. Fellows will advance MRI pipelines for tissue microstructure, from reconstruction and artifact correction to modeling, validation, and clinical translation of novel biomarkers.

Open projects are NIH-funded and focus on demyelination, axonal changes, and inflammation, with collaboration across centers and experts in diffusion physics, machine

Qualifications

  • Earned or expected PhD in neuroscience, physics, computer science, biomedical engineering or related field.
  • Publication record demonstrating relevant skills.
  • Drive, creativity, collaborative disposition, motivation to engage in interdisciplinary research.

Responsibilities

  • Contribute to MRI pipeline development from reconstruction to modeling and validation.
  • Translate biophysical markers into clinically feasible imaging protocols.
  • Collaborate with researchers to translate findings into clinical studies of neurodegeneration.

Skills

MR reconstruction
fMRI processing
diffusion processing
artifact correction
fiber tracking
Monte Carlo simulations
diffusion theory
machine learning
big datasets
neuroscience

Education

PhD in neuroscience
PhD in physics
PhD in computer science
PhD in biomedical engineering

Tools

Monte Carlo simulations
q-space trajectories

Job description

The Bernard and Irene Schwartz Center for Biomedical Imaging invites postdoctoral candidates to join NYU Langone Health's neuroscience imaging efforts. Fellows will advance MRI pipelines for tissue microstructure, from reconstruction and artifact correction to modeling, validation, and clinical translation of novel biomarkers.

Open projects are NIH-funded and focus on demyelination, axonal changes, and inflammation, with collaboration across centers and experts in diffusion physics, machine

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