11 optimization-nonlinear-functions PhD positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Exciting Fully Funded PhD Opportunity: Drive Innovation in Hydrogen Technology. Project: High-Pressure Hydrogen Generation, Storage, and Use - Shape the Future of Clean Energy with Us! School of
-
-generation mechanical seals for high-pressure hydrogen systems—key to renewable energy. Work with Industry Leaders: Collaborate with John Crane, a $1B global technology company driving sealing innovation. Gain
-
that require treatment while reducing unnecessary detection of slow-growing cancers. You will play a key role in a large mixed methods project as a qualitative researcher conducting focus groups, interviews and
-
to the renewable energy revolution. Work with Industry Leaders: Collaborate with John Crane, a $1B global technology company driving innovation in sealing technologies. Gain Hands-On Research and Industry Experience
-
interaction (FSI) and dynamic response of seal rings under real-world conditions. Collaborate with the Leonardo Centre for Tribology: Work with top researchers on experimental and modelling techniques. Why
-
will focus on the development of voice analysis technologies to enhance the prediction and triaging of Category 1 ambulance calls. Ambulance call centres play a critical role in triaging life-threatening
-
Students Dr Marco Colombo Application Deadline: 30 December 2025 Details Are you ready to shape the next generation of high-performance engineering systems? Join a cutting-edge, fully-funded PhD project
-
Overview This research assistant post will enable the candidate to undertake a PhD on the diagnosis of pancreatic cancer, specifically focusing on examining the use of imaging before a diagnosis is
-
the fundamental physiology of cerebral perfusion and gas exchange. Human research using MRI is anticipated in the future as this lab grows. The role offered here is research assistant for 12 months. Potential
-
. The successful candidate will be part of a team working towards advancing the modelling capabilities of geothermal systems and contribute to the following objectives: • Investigating fluid flow