368 postdoc-parallel-computing positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
shear flows, aerodynamics. Numerical analysis, in particular Computational Fluid Dynamics. Excellent programming skills in C, Fortran, or any other high-level language. Desirable: final-year project on a
-
-breathing lung MRI. Image computing support for pulmonary MRI applications. Support the development of a prototype neonatal pod for lung MRI, in collaboration with industrial partner, Contribute
-
Sustainability and resilience of Socio-Technical Systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr G Punzo Application Deadline: Applications accepted all year round Details The increasing complexity of our engineering, social, urban, and ecological...
-
, assessment, and student support to enable effective learning Contribute to the development of programme modules that are accessible, inclusive and contribute to the University’s Teaching and Learning Strategy
-
Overview Data Connect is a service within the Research and Innovation IT team in the University’s IT Department. It is focused on supporting researchers to get access to health and social care data for research projects. It is a strategically important service in the University that enables...
-
Early-stage failure prediction in fusion materials using machine learning
-
Overview IT Services at the University of Sheffield provide a full range of complex IT and technology-enabled services that support education, research, workplace, corporate services and infrastructure enablers to all our staff and students.This highly innovative department is a key enterprise...
-
Autonomous Industrial Perception, Monitoring, and Optimisation Using an Agentic Framework with Large Language Models
-
homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
-
). • Eligibility: First degree and Masters in one of engineering and computing fields • Standard departmental requirements: First Class • Experience in physical modelling and machine learning, interest in medical