Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Computational imaging: seeing beyond the capabilities of conventional optics School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Andrew Maiden Application Deadline
-
Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year
-
Efficient coding in touch: Exploring cortical feature tuning in the somatosensory system through the lens of efficient coding School of Psychology PhD Research Project Self Funded Dr Hannes Saal
-
parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
-
Body image treatment: The role of mirror exposure in reducing eating pathology School of Psychology PhD Research Project Self Funded Prof Glenn Waller Application Deadline: Applications accepted all
-
of quantum codes such as permutation invariant codes and some bosonic codes. This PhD will explore the theoretical application and optimisation of these quantum codes for quantum technologies, such as quantum
-
generation to train highly robust AI models. The result will be a prototype decision-support system that can be integrated into factory floors. The Research: You will address key questions at the intersection
-
November 2025 Details We offer a PhD position working on developing retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for fact-checking. Nowadays, social media is becoming
-
their behaviour with respect to their position in the embryo? This PhD project will focus on dissecting the external and internal factors driving a cell to stop moving become epithelial, guiding this fundamental
-
Overview A Yorkshire Cancer Research funded Research Associate position is available in Dr. Kyra Campbell’s research group to work with our exciting models for studying metastatic cancer using