-
Face Lab, relating to a craniofacial project and the application of dental data to the creation of a 3D digital avatar. You will require a 3D animation, computer science and/or anatomical modelling
-
biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models
-
, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
-
the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations
-
identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
-
Role Description Research Centre & Department The Leverhulme Centre for Anthropocene Biodiversity (LCAB) is a research centre of academics from a wide range of disciplines collaborating to increase knowledge of how the relationship between humanity and the natural world is changing, and how we...
-
successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
-
7 Mar 2026 Job Information Organisation/Company LIVERPOOL JOHN MOORES UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
-
fundamental questions in bioscience, and translate that knowledge into societal benefits. Our strategic vision, HealthyPlants, Healthy People, Healthy Planet , sets out our ambitious long-term goals
-
fundamental questions in bioscience, and translate that knowledge into societal benefits. Our strategic vision, Healthy Plants, Healthy People, Healthy Planet , sets out our ambitious long-term goals