We are seeking to hire a postdoctoral fellow for multi-disciplinary projects aimed at extracting quantitative metrics from imaging data (MRI, PET-CT, CT scans) to assess their association with a variety of non-imaging data, including but not limited to genetic/molecular profiles, clinical parameters, and outcomes. The candidate will work as part of the USC Radiomics Laboratory in the Department of Radiology. The group is active in the field of quantitative imaging and its applied aspects such as radiomics, with ongoing collaborations in the field of genomics, oncology, informatics and decision support systems.
PhD with at least 2 or more years of relevant experience in image science, computer science, or electrical engineering, Physics, Bioinformatics, or related subject with a focus in image-processing particularly image registration, segmentation and feature extraction.Â
Knowledge of DICOM format data, primarily with imaging modalities, including CT, MRI and UltrasoundÂ
Experience with Matlab, Python, R
Prior experience working with file structure and file management.
Strong programming, image processing, and signal processing skillsÂ
Experience with ITK & VTK, ImageJ, Amira etc.
Expertise in R, C/C++ programming environments
Experience with open source radiomics software such as py-radiomics, KNIME, MaZDa etc.
Experience in machine learning and deep learning is a desired skillset
Hands-on experience in high performance computing, especially for parallelizing code in Matlab, C/C++ (openMP) and/or R in a grid environment.
Familiarity with the state-of-the-art radiomics approaches in the literature and beyond, as well as the eagerness to test and improve existing AI implementations
Strong analytical skills and ability to balance attention to detailÂ
Ability to multitask and work to deadlines in an environment of changeÂ
Ability to learn quickly on the job through mentoring and actionÂ
Ability to independently manage workflow to see projects through from start to completionÂ
Ability to work with multi departmental groupsÂ
Technical and grant writing skillsÂ
Self-motivated and resourceful with good interpersonal skills
Minimum Education: PhD with at least 2 or more years of relevant experience in image science, computer science, or electrical engineering, Physics, Bioinformatics, or related subject with a focus in image-processing particularly image registration, segmentation and feature extractionMinimum experience: 1-2 yearsMinimum Field of Expertise: Knowledge of DICOM format data, primarily with imaging modalities, including CT, MRI and Ultrasound. Experience with Matlab, Python, R, C/C++
Internal Number: REQ20073855
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