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Jeon Lee

6 months ago

Postdoc in Neuroimaging, AI, and Brain Network Modeling at UT Southwestern Medical Center UT Southwestern Medical Center in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position with a competitive compensation package at UT Southwestern Medical Center. The Lyda Hill Department of Bioinformatics offers a base salary above NIH postdoctoral scales, comprehensive health benefits, and strong institutional support for professional development and career advancement. The department page also lists competitive fellowship incentive salary levels for postdocs.

Deadline

Expired

Country flag

Country

United States

University

University of Texas Southwestern Medical Center

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Biology
Neuroimaging
Parkinson's Disease
Artificial Intelligence
Cognitive Neuroscience
Neuropsychology
Medical Science
Multimodal Imaging
Neurodegenerative Disease
Statistics
Bioinformatic

About this position

UT Southwestern Medical Center’s Lee Lab in the Lyda Hill Department of Bioinformatics is recruiting an immediate Postdoctoral Fellow to work on neuroimaging, artificial intelligence, graph neural networks, brain network organization, and neurodegenerative disease.

The position is led by Jeon Lee, Assistant Professor at UT Southwestern Medical Center. The lab focuses on data-driven computational approaches for understanding structural-functional coupling and decoupling, network propagation under anatomical constraints, multiscale graph-spectral modeling, and explainable ML/AI. Recent work from the group includes an explainable GNN framework using diffusion MRI-derived structural connectivity and principled feature selection to identify biologically interpretable connectivity signatures in Parkinson’s disease and Essential Tremor.

Potential projects include structural-functional connectivity decoupling in Parkinson’s disease and related movement disorders, prediction of disease progression using structural connectivity and cortical atrophy, graph-based modeling of network propagation and selective vulnerability, and explainable ML methods for multimodal neuroimaging such as DTI, fMRI, and structural MRI.

The lab environment is multidisciplinary and computationally intensive, with expertise spanning multi-omics, single-cell and spatial transcriptomics, chemoinformatics, biomedical image analysis, and ML/AI across heterogeneous biomedical data. The department emphasizes collaboration with clinicians and experimental scientists across UT Southwestern.

Funding and benefits: the Lyda Hill Department of Bioinformatics offers a competitive postdoctoral compensation package, including a base salary above NIH postdoctoral scales, comprehensive health benefits, and strong institutional support for professional development and career advancement.

Eligibility: applicants should hold a PhD in Bioinformatics, Computer Science, Biomedical Engineering, Neuroscience, Applied Mathematics, or a related field, and have a strong background in brain science, neurodegenerative disease, ML/AI, graph network analysis, mathematical/statistical modeling, or neuroimaging. Proficiency in Python and scientific computing is required.

How to apply: email Jeon Lee with a current CV, a brief description of research interests and plans, and the names/contact information of 2–3 references.

Institution: UT Southwestern Medical Center, Dallas, Texas, United States.

Funding details

Postdoctoral position with a competitive compensation package at UT Southwestern Medical Center. The Lyda Hill Department of Bioinformatics offers a base salary above NIH postdoctoral scales, comprehensive health benefits, and strong institutional support for professional development and career advancement. The department page also lists competitive fellowship incentive salary levels for postdocs.

What's required

PhD in Bioinformatics, Computer Science, Biomedical Engineering, Neuroscience, Applied Mathematics, or a related discipline. Strong background in brain science and neurodegenerative disease, machine learning/AI, graph network analysis, mathematical/statistical modeling, or neuroimaging is preferred. Proficiency in Python and scientific computing is required. Candidates should be able to work on projects involving structural-functional connectivity, longitudinal imaging, and explainable multimodal ML methods.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Cell Biology

Biochemistry

Hiv

Immune Regulation

Transcriptional Regulation