Sort by
Refine Your Search
-
Listed
-
Field
-
project offers a unique opportunity to apply cutting-edge computational methods to a fundamental challenge in reproductive biology: understanding why human embryos fail. As delayed childbearing becomes more
-
Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students
-
Mitigating Healthcare Misinformation: Fact-Checking Spoken Medical Claims Using Textual Evidence (S3.5-COM-Zhang) School of Computer Science PhD Research Project Competition Funded Students
-
dysfunction, driving emerging infections and development of AMR. In this project we propose to integrate four different disciplines (medical, policy and environmental, and computer science) to develop and
-
World Models, Predictive Control and Foundation Models for Robotics
-
, training opportunities or internships in science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal
-
spanning mathematics, engineering, and physics. You will also collaborate closely with an ongoing PhD project in MAC focused on improving computational models of AGS flows. The project includes training in
-
respond to climate gradients, drought events, and changing fire regimes. You will gain skills and experience in data science, computer programming, simulation modelling, ecological theory and climate
-
Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students
-
(UKCEH) leads an interdisciplinary team spanning ecology, spatial modelling and social science. Tijana Blanusa and Mark Gush (RHS) respectively lead the Ecosystem Services Research Programme and