137 parallel-and-distributed-computing "Computer Vision Center" positions at Durham University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
include the scaling of neutral-atom quantum computing through distributed computing, as well as new tests of fundamental physics, such as exploring the interplay of general relativity and quantum
-
, combining foundation models, computer vision, machine learning and robotics. Deployment is limited by dependence on very large models, extensive data, costly compute, cloud inference and large-scale
-
and validation. Supervisors Principal Supervisor: Professor Norbert Peyerimhoff , Department of Mathematical Sciences, Durham Co-Supervisor: Dr Niklas Ruth , Advanced Research Computing (ARC), Durham
-
The role and the department The Strategy, Planning and Insight Office aims to be an indispensable partner in driving forward Durham University’s positioning and performance, supporting decisions on
-
astrophysics, condensed matter physics, cosmology, particle physics and quantum physics. It has real‑world impact, informing developments in energy storage, improved cancer imaging, quantum computing
-
The role and the department The Strategy, Planning and Insight Office (SPIO) aim to be an indispensable partner in driving forward Durham University’s positioning and performance, supporting
-
The role and department This role is an integral part of a shift in service ownership for Power BI and Microsoft Fabric. The service was previously owned by the Computing and Information Services
-
IS Apprentice - Identity and Access Management (IAM) ( Job Number: 26001225 ) Computing and Information Services Grade 3 : - £25,025 - £25,571 per annum Apprentice - Full Time Contract
-
Technical Analyst (EUC) ( Job Number: 26001306 ) Computing and Information Services Grade 5 : - £27,865 - £30,986 per annum Open-Ended/Permanent - Full Time Contracted Hours per Week
-
cancer imaging, quantum computing, nuclear fusion, pandemic modelling and faster digital technologies. We pride ourselves on closely aligning our teaching with the University’s research intensive