Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- ;
- ; Loughborough University
- ; Newcastle University
- ; University of Leeds
- ; University of Nottingham
- ; The University of Manchester
- ; Anglia Ruskin University
- ; Manchester Metropolitan University
- ; UWE, Bristol
- ; University of Birmingham
- ; University of Cambridge
- ; University of East Anglia
- Cranfield University
- University of Sheffield
- 5 more »
- « less
-
Field
-
expertise in textiles, materials, soft robotics, sports, healthcare, machine learning and AI, with globally leading industrial and academic partners. Your Project This project explores a revolutionary new
-
expertise in textiles, materials, soft robotics, sports, healthcare, machine learning and AI, with globally leading industrial and academic partners. Your Project Super-smart textiles contain the unique
-
solutions developed through the ongoing Shoestring Logistics project at IfM. Examples of such automation are warehouse automation, autonomous delivery vehicles coordination, human-robots coordination, etc. A
-
experience will be provided in both modern crystallisation methods and SCXRD of complex small molecules, including the use of robotics for high-throughput experimentation. The Newcastle University supervisory
-
Application deadline: 31/10/2025 Research theme: "AI and Robotics in engineering", "Digital security and resilience", "Digital security and resilience" How to apply:uom.link/pgr-apply-2425 Number
-
, which amongst its wide research portfolio, conducts cutting edge research into the development novel causal inference, automation and robotic control algorithms. We are seeking for a highly motivated PhD
-
Language Models (LLMs) in IoT/Personal Devices The Rust Repository of Babel: Malware Library Securing Open Source Robotics: addressing the flaws in ROS Knowledge-graph based approaches for reasoning about
-
for 3.5 years. Lead Supervisor’s full name & email address Dr Qian Xie: q.xie2@leeds.ac.uk Project summary Accurate 3D scene understanding is critical for robotics, autonomous driving, and similar
-
automation & robotics and machine learning. The project involves the application of innovative methods such as high-throughput experimentation to expediate the syntheses of life-saving pharmaceuticals – all
-
underlying material perception: our ability to determine how materials will feel to touch, just from seeing them. Understanding this process has practical consequences for improving tactile sensing, robotics