What are the responsibilities and job description for the Research Associate in Biomedical Image Analysis - Biomedical Engineering position at Case Western Reserve University?
Research associate in biomedical image analysis
We are seeking a researcher to use advanced image processing and state-of-the-art
machine/deep learning to map the vagus nerve from the brainstem to target organs, creating the first-ever vagus nerve connectome. The goal is to map nerve bundles over the 50cm length of the vagus using whole-body MRI, micro-CT, nano-CT, and 3D-MUSE microscopy. This is a grand challenge requiring creative solutions. The project will create Penta-bytes of data to analyze, creating a need for algorithms, visualization, and coding.
A successful applicant must have a PhD degree in biomedical engineering, computer science, or a similar discipline. The person should have training in biomedical imaging, image analysis, statistics, and machine/deep learning approaches. A successful applicant should have experience in software coding of larger programs, preferably in python.
Please contact us for more information at To apply, persons should send an email stating why they should be selected with a resume or curriculum vitae. Be prepared for a reference request.
In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity. Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply. Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring accommodation for any part of the application and hiring process should contact the Office of Inclusion, Diversity, and Equal Opportunity at 216-368-8877 to request reasonable accommodation. Determinations as to granting reasonable accommodations for any applicantwill be made on a case-by-case basis.
Case Western Reserve University strives to maintain a diverse and inclusive work environment. All applicants are protected under Federal law from discrimination based on race, color, religion, sex, national origin, disability, age and genetics.
