Sort by
Refine Your Search
-
deep learning theory, Bayesian statistics, and generative modelling, this work will advance our understanding of both the capabilities and vulnerabilities of modern AI systems. This will have potential
-
interaction and human motion analysis Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage IELTS score of 6.5
-
managing staff development, performance, resource allocation and strategic outcomes within complex institutions Deep experience building and maintaining partnerships with senior university leadership
-
appear as black boxes such that they lack explanations for why and how a particular prediction is made. To address these challenges, this Ph.D. project aims to combine causal analysis with deep learning
-
The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
-
, and other specialised laboratory equipment. Your attention to detail and deep understanding of laboratory processes will be key to supporting complex genomics projects. You will also play a critical
-
have experience in applying AI and deep learning to solve real-world problems in scientific domains; ideally in atmospheric science or climate science. If you would like to be part of a cutting edge
-
a related field, combined with extensive experience in backend systems architecture and development At least 4 years industry experience as a Python and Django developer, with deep understanding
-
to research projects, secured competitive external funding, and supervised postgraduate students to successful outcomes. A deep commitment to scholarly engagement is essential, along with proven teaching
-
keen eye for detail, a commitment to research integrity and lab safety, and a deep respect for the ethical dimensions of translational research. Your ability to engage sensitively with patients, as