Research Associate

Description:

We are searching for candidates with a strong background in computer vision, deep learning, large language models, generative AI, applied mathematics, bioinformatics, and biomedical image analysis, especially high-resolution histopathology images and cardiac images. The center is focused on developing new algorithms and techniques that use advances in AI, machine learning and large language models to analyze different types of biomedical data. Emphasis is on biomedical images (especially on the analysis of high-resolution pathology images and cardiac images, such as echocardiographs, MRI, CT images, etc.), and on secured and privacy preserving health data analytics.

The Research Associate will conduct research on one or more of the topics above. Together with other researchers at the center, the Research Associate will have the opportunity to determine the specific direction of their research project, depending on their interests, and within the scope of the collaborative projects at the center.

The successful candidate must have a PhD in computer science, electrical engineering, computer engineering, biomedical engineering, applied mathematics, physics or a related field. Familiarity with machine learning/deep learning/data analytics and large language models is a requirement and proficiency in scientific computing using one or more of the major programming languages/environments (python, PyTorch, Matlab, C/C++, or R) is essential.