King's College London seeks a computational scientist to develop AI and mathematical approaches for spatial transcriptomics, turning high‑dimensional spatial data into quantitative descriptions of tissue organization and disease. You will build models, lead integration with digital pathology, and publish open-source software.
The role requires a PhD in a quantitative field, strong ML experience, and a track record of leading research projects.
#J-18808-Ljbffr
Spatial Biology ML Research Fellow in City of Westminster employer: King's College London
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through comprehensive training opportunities and a supportive environment that encourages professional development. Located in the heart of London, our institution offers unique advantages such as access to world-class resources and a vibrant community dedicated to advancing research and education.
