Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Biomechanical Modelling of Butterfly Wing Nanostructure Formation (University of Sheffield), Funded by the Leverhulme Trust School of Mathematical and Physical Sciences PhD Research Project Directly
-
Overview A research associate position is available within an exciting project aiming to conduct research into the safety and security of advanced hardware architectures. The project is called “Co
-
of the UK and Northwest Europe's dynamic patterns of atmospheric circulation processes and how they are affected by climate change. We will develop, adapt and use data-driven modelling techniques, including
-
PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Dr P Kok Application Deadline: 15 January 2026
-
embedded skills development and work-related learning in all taught programmes. The Data & Systems Manager fulfils a crucial role and leads a small team with responsibility for a portfolio of careers service
-
Research Horizons Data Innovation Award. This is an exciting opportunity to contribute to the creation of the UK’s first and largest open-access multimodal dataset focused on oral, head and neck precancers
-
. Their expertise will provide you with unparalleled exposure to industrial research and development. Interested? Apply Now! For more information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk
-
proposed supervisor(s). Information on what documents are required and a link to the application form can be found here - https://www.sheffield.ac.uk/postgraduate/phd/apply/applying The form has
-
World Models, Predictive Control and Foundation Models for Robotics School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Prof Amir Ghalamzan Application
-
developed within the School of Clinical Dentistry. Simulated data produced in Computer Science will augment EIS data collected from these constructs. These machine learning models will be developed from both