47 cloud-computing-"https:"-"https:"-"https:"-"St" positions at Loughborough University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
Research Academy Programme Coordinator Management and Specialist grade 6 from £35,608 to £46,049 per annum. Subject to annual pay award. Loughborough University is proud to launch the Loughborough
-
dynamic, optically unpredictable environments, dominated by waves, specular reflection, cloud-dependent illumination, and variable scattering. These factors significantly degrade sensor reliability, leading
-
migration to cloud and implementation of best practice backup, recovery, and security standards. About the University Universities are one of this country’s greatest assets. We’re educators, employers
-
of real-time adaptive 3D inspection, dynamically adjusting its measurement strategy based on data quality as well as environmental and scene cues. Positioned at the intersection of robotics, computer vision
-
manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data
-
computational lung modelling. Working with our proprietary respiratory system model, you will generate large-scale, high-quality virtual airflow and acoustic datasets. You will then develop and train state
-
require additional academic and pastoral support in preparation for their future studies. The ideal candidate will: Deliver engaging teaching and assessment primarily on the Foundation Programme, including
-
Loughborough’s Doctoral students, working in any discipline, to participate in a 16-week programme , which will run from w/c 9th March to w/c 29th June 2026 . Successful applicants will spend an average
-
for: The project entails the inspection and analysis of engineered porous structures via computed tomography. These engineered structures are stochastic and lattices. The materials range include polymers and metals