Postdoctoral Associate

Duke Careers

. Develop and apply advanced computed tomography methods, focusing on photon-counting CT, quantitative image analysis, and machine learning .

Posted 9/30/2026full-timeDurham • North Carolina • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced computed tomography methods, including photon-counting CT and quantitative image analysis, while applying machine learning techniques for image reconstruction and analysis. Proficient in developing imaging biomarkers and conducting preclinical imaging studies.

Highest-signal resume keywords

Ph.D. In Biomedical EngineeringCT Image ReconstructionMachine LearningQuantitative Image AnalysisPython And/or MATLAB

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Photon-Counting CTImage SegmentationImage RegistrationQuantitative MorphometryComputational ImagingDigital-Twin ModelsSpectral Imaging MethodsLongitudinal Imaging Data AnalysisMaterial DecompositionDeep Learning

Soft Skills

Research CollaborationTeaching ResponsibilitiesMentorship Communication

Tools & Technologies

PyTorchScientific ComputingNumerical MethodsLaboratory Notebooks

Industry Keywords

Preclinical ImagingTranslational ImagingCerebral VasculatureIntracranial AneurysmsHead And Neck CancerCardiovascular Disease

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop and apply advanced computed tomography methods, focusing on photon-counting CT, quantitative image analysis, and machine learning
Work across NIH-funded research projects in preclinical and translational imaging
Investigate spectral photon-counting CT of cerebral vasculature and intracranial aneurysms
Conduct photon-counting CT and computational imaging research for head and neck cancer
Perform multiorgan CT studies of aging and cardiovascular disease
Develop CT reconstruction, image-processing, material decomposition, and quantitative spectral imaging methods
Perform image segmentation, registration, and quantitative morphometry
Apply machine learning and deep learning to CT image analysis and reconstruction
Develop computational and digital-twin models for preclinical imaging
Analyze longitudinal and dynamic imaging data
Develop and validate imaging biomarkers
Combine method development with analysis of experimental imaging data
Participate in preclinical imaging studies and development of new imaging protocols
Discharge research or scholarship responsibilities, which may include teaching
Maintain laboratory notebooks or comparable research records
Discuss research activities with the mentor and disclose materials, software, and potentially patentable discoveries
Comply with responsible research, scholarly, safety, conduct, and University policies

Requirements

What you’ll need

Ph.D. or equivalent doctorate (e.g., Sc.D., M.D., D.V.M.) in biomedical engineering, electrical or computer engineering, medical physics, computer science, applied physics, or a closely related field
Candidates with non-US degrees may be required to provide proof of degree equivalency
International candidates must generally have the requisite degree conferred before an immigration petition or visa document can be issued for sponsorship
Strong quantitative and computational background
Experience in CT or other tomographic image reconstruction, medical image analysis, machine learning or deep learning, Python and/or MATLAB, or scientific computing and numerical methods preferred
Experience with computing, PyTorch, spectral CT, photon-counting detectors, or preclinical imaging helpful but not required
Work performed on-site or at a designated assignment location

Benefits

Comp & perks

Health insurance plans
Generous paid time off
Retirement programs with employer contributions
Tuition assistance for employees and their children