75 structures-"https:"-"https:"-"https:"-"https:" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
day to day running of the Structures Laboratory to provide a comprehensive, enthusiastic and high quality technical service to staff, students and external customers, and to ensure continued safe and
-
The effects of micro-machining operations on structural integrity of biomaterials used in dental applications School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded
-
Structural Integrity Finite Element Analyses of Formula I Composite Panels for Safer and Lighter Designs School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L
-
Physics-Informed Digital Twin for Guided Wave-Based Structural Health Monitoring (SHM) of Offshore Wind Turbine Foundations Offshore Wind CDT PhD Research Project Directly Funded UK Students Dr T
-
Simulation and Analysis of Damage for Failure Prediction on Advanced Composite Structures subjected to Impact Loading School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self
-
Overview As a Technician you will work as an integral member of the Schools existing Structural Integrity group. Reporting to Technical Manager and or Technical specialist, the post holder will be
-
Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Viktor
-
The Theory of Structure Evolution and Structure-Property Relations in Perovskite Solar Cells (S3.5-MPS-NClarke) School of Mathematical and Physical Sciences PhD Research Project Competition Funded
-
Virtual manufacturing of discontinuous fibre composites for high-performance automotive and aerospace structures (C3.5-MAC-Qian) School of Mechanical, Aerospace and Civil Engineering PhD Research
-
Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students