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University of North Carolina at Chapel Hill

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PhD and Postdoc Positions in AI/ML for Neurological Disorders, EEG and Neuroimaging University of North Carolina at Chapel Hill in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

United States

University

University of North Carolina at Chapel Hill

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Epileptology
Neuroimaging
Artificial Intelligence
Image Processing
Eeg
Neuropsychology
Medical Science
Biosignal Processing
Statistics
Neurological Disorder
ML

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About this position

📢 PhD and postdoctoral opportunities are available in the BRAIN Lab at the University of North Carolina at Chapel Hill.

The lab is looking for motivated candidates to develop AI and machine learning models for studying neurological disorders, with a particular focus on scalp EEG and neuroimaging data analysis.

Research in the group sits at the intersection of machine learning, biomedical signal/image processing, and clinical neuroscience, with the goal of building clinical tools that may improve patient outcomes in epilepsy and other neurological disorders.

Ideal applicants will have a background in machine learning, biomedical signal processing, image processing, neuroscience, or a closely related field. Prior experience with EEG or neuroimaging data is preferred.

Interested candidates should complete the linked form to be considered. The post does not list a deadline, so applicants should respond promptly.

Funding details

Available

What's required

Candidates should have a background in machine learning, biomedical signal/image processing, neuroscience, or a related field. Experience with EEG or neuroimaging data is preferred.

How to apply

Fill in the linked form to express interest, and the team will contact shortlisted candidates.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Neuropsychology

Statistics

Computer Science

Biosignal Processing

Biomedical Engineering