Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
quantitative skills in network modelling, information theory, and time-frequency coherence analysis, providing interdisciplinary training at the interface of neuroscience, physics, and computer science
-
training in a wide range of multidisciplinary skills including genetics, cell biology, live imaging, molecular biology, computational modelling, data analysis, scientific writing and communication as
-
Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students
-
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
-
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
-
degree or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested
-
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
-
techniques across molecular and cell biology, neurophysiology and computational analyses. The successful candidate will join the laboratory of Professor Ivana Barbaric (School of Biosciences, the University
-
laterally acquired genes linked to seed oil production. The project blends computational biology, epigenomics, and plant functional genetics, offering training in cutting-edge approaches from genome analysis