Seeking a full-time post-doctoral research fellow in the Department of Radiology to develop AI models from contrast-enhanced CT images for early detection of pancreatic cancer.
Responsibilities include data curation, designing radiomics pipelines, implementing machine and deep learning algorithms, evaluating model performance, and preparing scientific manuscripts.
Candidates should have proficiency in programming languages (Python, C++, R, MATLAB), experience in deep learning and statistical modeling, and a strong scientific background.
Qualifications include a Master’s or Ph.D. in computer science, biomedical engineering, or related fields, with at least one year of relevant experience.
Offers competitive salary, benefits, and opportunities for collaboration in a cutting-edge research environment focused on improving cancer detection using AI technology.