Postdoctoral Fellowship in Biomedical Image Processing for Preclinical fMRI Data
PhDFinder
Date: 1 day ago
City: Ottawa, ON
Contract type: Full time
University: Carleton University
Country: Canada
Deadline: Not specified
Fields: Computer Science, Computer Engineering, Biomedical Engineering, Neuroscience, Medical Physics
Carleton University invites applications for a Postdoctoral Fellow position in the field of biomedical image processing, with a focus on preclinical fMRI data. The successful candidate will join Dr. Chris Joslin’s research group for an initial 6-month term.
Requirements
– PhD in computer science, computer engineering, or a closely related discipline (with emphasis on biomedical imaging)
– Extensive experience in biomedical image processing, particularly in preprocessing pipelines for preclinical fMRI data
– Proficiency in handling 4D fMRI datasets and standard preprocessing techniques such as motion correction, skull stripping, and registration
– Strong programming skills in Python and familiarity with neuroimaging libraries/tools such as NiBabel, Nilearn, FSL, and ANTs
– Experience with deep learning methods (e.g., GANs, Transformers) applied to 3D medical data is highly desirable
– Familiarity with GPU-based computing and experience in collaborative research settings is an asset
Interested candidates should submit their application materials or inquiries by email to Dr. Chris Joslin at [email protected].
Country: Canada
Deadline: Not specified
Fields: Computer Science, Computer Engineering, Biomedical Engineering, Neuroscience, Medical Physics
Carleton University invites applications for a Postdoctoral Fellow position in the field of biomedical image processing, with a focus on preclinical fMRI data. The successful candidate will join Dr. Chris Joslin’s research group for an initial 6-month term.
Requirements
– PhD in computer science, computer engineering, or a closely related discipline (with emphasis on biomedical imaging)
– Extensive experience in biomedical image processing, particularly in preprocessing pipelines for preclinical fMRI data
– Proficiency in handling 4D fMRI datasets and standard preprocessing techniques such as motion correction, skull stripping, and registration
– Strong programming skills in Python and familiarity with neuroimaging libraries/tools such as NiBabel, Nilearn, FSL, and ANTs
– Experience with deep learning methods (e.g., GANs, Transformers) applied to 3D medical data is highly desirable
– Familiarity with GPU-based computing and experience in collaborative research settings is an asset
Interested candidates should submit their application materials or inquiries by email to Dr. Chris Joslin at [email protected].
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