499 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
design and test LNPs with different molecular features – such as lipid composition and surface chemistry – and track them in live animal models. To achieve this, we will use an innovative FRET barcoding
-
Bayesian risk quantification for accelerated clinical development plans (C4-MPS-Oakley) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Prof J
-
Welfare and distributional effects of energy-affordability and debt: Consumer policy beyond the energy crisis School of Economics PhD Research Project Directly Funded Students Worldwide Dr Andrew
-
An innovative energy storage system for micro-grids in developing countries (C3.5-ELE-Gladwin)
-
Project and Data Co-ordinator Department/School: National Technician Development Centre Contract type: Permanent/ Hybrid/Flexible options considered. Overview We have an exciting opportunity within the National Technician Development Centre (NTDC) for someone with a passion for handling data and...
-
The impact of home retrofitting on indoor air quality (C3.5-MAC-Vouriot) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students Worldwide Dr Carolanne
-
Overview Contributing to the Estates & Facilities Management strategy, as a Sweeper Driver and Litter Picker, and external services, you will support day-to-day operations across the Transport & Logistics service. Reporting to the Campus Transportation and Logistics Manager, based in either...
-
Rail Grinding Performance Mapping using Novel Rail Surface Quality Characterisation (C3.5-AMR-Taylor) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr Ellis Taylor, Prof Roger Lewis Application Deadline: 15 January 2026 Details A fully funded...
-
Development of technology for removing forever chemicals from polluted waters (C3.5-CMB-Patwardhan)
-
Optimising treatment outcomes for pulmonary arterial hypertension using deep learning-based analysis of novel perfusion magnetic resonance imaging (S3.5-SMP-Sourbron)