Our research group at Karolinska Institutet in Stockholm works with computational and systems approaches to understand the metabolism of human cells, and ultimately find ways of improving human metabolic health. We are now looking for a computer science student for a M.Sc project on image analysis of cultured cells. This project is part of our studies of methionine dependency, a metabolic phenomenon observed in cancer cells where the amino acid methionine becomes strictly required for cell proliferation. We are striving to understand the metabolic basis of this phenomenon, and in the long term exploit it to suppress cancer growth.
The goal of the project is to use computer vision techniques to characterize proliferation of cancer cells deprived of methionine. You will work with live cell microscopy data (a video stream depicting living cancer cells) generated by researches in our lab, You will optimize and apply image segmentation and object tracking methods to this data to systematically analyze the behavior of thousands of individual cells during methionine deprivation, recording events such as cell division, cell growth and cell death. The results will be important to understand precisely how methionine deprivation blocks cancer cell growth.
You should have a computer science background or similar with strong applied math and programming skills. Experience with image analysis, signal processing or computer vision techniques is an advantage. You should be comfortable with communicating in written and spoken English. No previous experience with cell biology or experimental methods is required.