Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Materials Science
- Biology
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Psychology
- Arts and Literature
- Electrical Engineering
- Physics
- Business
- Humanities
- Linguistics
- Philosophy
- Science
- Education
- Law
- Earth Sciences
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
-
parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi
-
AI for Multi-modal Healthcare School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Chen Chen Application Deadline: 30 April 2025 Details A 3.5-year funded PhD
-
/ requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi (h.ghadbeigi@sheffield.ac.uk) for more details. Funding Notes This project
-
parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Funding Notes Please note that this
-
of nonlinear systems. These methods will identify unstable states, design stabilizing or optimal controllers and compute invariant sets. There is scope here to combine traditional model-based methods with new
-
programme. This is an exceptional opportunity to gain experience in medical device innovation, translational research, and clinical validation. The ideal candidate will have a background in biomedical or
-
guidelines. Hosted in collaboration with UKAEA, the project will contribute to digital engineering capabilities for the UK’s fusion programme. The primary research questions for the project are; (1) How can a
-
Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Neurology clinical academic training programme led by the Training Programme
-
fixed-term 301 Tutors Ensure the core Academic Skills programme is cognisant of and responsive to the needs of international students Provide guidance to staff as part of the Elevate staff development