Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Materials Science
- Medical Sciences
- Biology
- Chemistry
- Business
- Education
- Arts and Literature
- Mathematics
- Linguistics
- Electrical Engineering
- Physics
- Psychology
- Earth Sciences
- Environment
- Humanities
- Law
- Philosophy
- Science
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
Phase Field Computational Methods for Fracture Problems in Engineering School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
-
Work with Professor Clegg and the wider research team to deliver the University of Sheffield component of this NIHR research study. Develop and maintain a strong working relationship with the wider
-
As part of an interdisciplinary team you will develop a new method to track flying insects which will revolutionise movement ecology and help reverse pollinator decline. We will use our method
-
. The research topics include: Designing next-generation formal reasoning mechanisms by combining AI with more traditional "structural" methods. Implementing new AI features within a proof assistant, preferably in
-
to translate this technology to clinical use. In this project we will ensure our supply chain, sterilisation and manufacturing methods can be performed to clinical standards at sufficient scale to progress
-
Deadline: 14 November 2025 Details As part of an interdisciplinary team you will develop a new method to track flying insects which will revolutionise movement ecology and help reverse pollinator decline. We
-
an Innovate UK-funded KTP project (assessed at application) Desirable criteria Experience of working on high voltage power electronic systems (assessed at application/interview) Experience with finite element
-
open access, open research methods, reproducibility, research data management, open-source software, open research and qualitative research, etc.) Essential Application/interview A strong understanding
-
accurately collecting data with subsequent robust analysis using appropriate statistical methods. Essential Application/interview Ability to update and acquire new skills and knowledge in line with advances in
-
assessment and scenario modelling for new materials and technologies Develop new supply chain sustainability and resilience tools Develop new methods to measure resiliency and holistic sustainability Perform