Research Software Engineer

HHMI’s $500 million over the next 10 years will support AI-driven projects and embed AI systems throughout the scientific process in labs across HHMI.

Human Technopole’s research is based on a mix of fundamental and translational research. We will host extensive core expertise in basic research in areas relevant for the understanding of human biolog...

Topics The following will be covered extensively during lectures, exercises, and project work: Image denoising and restoration (fully supervised and self-supervised) Image translation (e.g.,

The goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks th...

We address the problem of explaining the decision process of deep neural network classifiers on images, which is of particular importance in biomedical datasets where class-relevant differences are no...