Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
at the interface of artificial intelligence (AI) and science and society, providing training in data science for science and society, and building a community of research and practice. We are looking for two
-
A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on bio-photonic devices. The post holder will be located in West Cambridge Cambridgeshire, UK. The
-
. Accelerate Science: provides researchers with specialised training in AI techniques, equipping them with the skills they need to use machine learning and AI to power their research. pursues an ambitious
-
of Computer Science and Technology, at the University of Cambridge, UK. The Prorok Laboratory has a variety of robotic platforms (aerial and ground), and boasts expertise in controlling and deploying them in practice
-
Are you an adept communicator with a passion for translating intricate concepts into captivating narratives? The Isaac Newton Institute for Mathematical Sciences (INI) is seeking an experienced
-
programming skills (e.g. in Python, C++, etc.). Pre-employment screening The successful candidate will be required to undergo security checks, to be carried out by the National Security Technology Innovation
-
energy pathways Aero-thermal design of propulsion and power technologies Thermodynamic analysis and development of net zero flight and energy cycles Data Science and multi-disciplinary modelling and
-
An exciting opportunity has arisen at the University for an experienced Senior Application Specialist to join the Student Systems team. Located within University Information Services (UIS), the Student Systems Technical team are responsible for the maintenance and development of the University's...
-
Biomedical Campus in Cambridge. As part of the University of Cambridge School of Clinical Medicine, the Institute's research ranges from basic cancer biology through translational cancer research to clinical
-
Cambridge and international institutions. The preferred candidate will have a PhD (or equivalent) in Statistics, Computer Science, or other related quantitative subject. Selection criteria includes