Organiser: Accelerate Science, a University of Cambridge programme working at the interface of AI and Science, are delighted to announce a new Data Pipelines for Science Spring School that will run from Wednesday 29^th – Thursday 30^th March.  

The Data Pipelines for Science School helps scientists overcome data pipeline challenges by equipping them with the latest best-practice software techniques. It consists of a blend of lectures and labs, with a focus on discussing general principles and case-studies during the lectures, and a focus on hands-on exercises in Python during the labs. Participants also have the opportunity to discuss and share data pipeline issues encountered in their own research with the course instructors and cohort, and to relate it to the course content.

The school is open to all PhD students and researchers affiliated with Cambridge University and is free to attend. Enrolment closes on Friday 10^th of March at 5pm.

Further details on the Spring School including the, schedule, FAQs and enrolment can be found at https://acceleratescience.github.io/data-engineering-school

Please email accelerate-science@cst.cam.ac.uk with any queries.