Job title: PhD Fellowship in Computational Systems Immunology (286608), Employer: University of Oslo, Deadline: Wednesday, October 15, 2025

Negative data composition critically shapes machine learning robustness in sequence-based biological tasks. Training data composition and its implications are investigated on biological rule discoveri...

This review article discusses the challenges of identifying cancer cells in single-cell data, summarizing current computational solutions as well as underexplored features of malignancy.

Imprint has raised $15 million to decode the body's immune memory for understanding chronic diseases, such as long-COVID and psychiatric disorders.

Postdoctoral research fellowship in Bioinformatics and Immunology (3-year, full-time)

Initial specificity is thought to be required for somatic hypermutation (SHM)-driven antibody evolution. Zuo, Gautam, et al. demonstrate that non-cognate B cells can enter germinal centers, undergo SHM, and acquire new antigen specificities, highlighting the capacity of antibodies to generate new recognition through SHM.

Join our team—current openings at Imprint

Kunze-Schumacher et al. have developed an experimental and computational framework to generate a quantitative high-resolution map of cell cycle phase durations during murine T cell development. This map provides insight into how cell cycle phases are adjusted between slow- and fast-dividing populations at steady state and in a preclinical model of thymus regeneration.

Machine learning has been pervasively touching many fields of science. Chemistry and materials science are no exception. While machine learning has been making a great impact, it is still not reaching...

Three distinguished scientists on leaving academia to advance biomedical research

T cell receptor–centric perspective improves single-cell analysis.