Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- ; The University of Manchester
- ; University of Surrey
- ; University of Nottingham
- ; University of Sussex
- AALTO UNIVERSITY
- ; University of Exeter
- University of Cambridge
- University of Newcastle
- University of Sheffield
- ; Aston University
- ; Cranfield University
- ; Swansea University
- ; University of Birmingham
- ; University of Bristol
- ; University of Cambridge
- ; University of Greenwich
- ; University of Leeds
- ; University of Oxford
- ; University of Reading
- ; University of Warwick
- Harper Adams University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- 16 more »
- « less
-
Field
-
-efficient rail operation Autonomous vehicle decision-making and trajectory planning AI-driven modelling and intelligent control in rail environments You will be based at the Birmingham Centre for Railway
-
of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is challenging. Characterising the mechanical behaviours of thin foils at elevated temperatures is crucial in
-
-centred operation (NCO) information, including positions, threats and airborne warning and control systems (AWACS). Streamlined and effective decision making in complex scenarios. Natural interaction and
-
of health status. Sub-studies will additionally determine how the intervention affects brain blood flow and metabolism in regions associated with appetite control, reward processing and self-regulation
-
, thermal, electromagnetic or kinetic), are critical for the sustainable operation of wireless IoT devices and remote sensors. The world can reduce reliance on batteries and fossil-fuel-derived power if more
-
applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be inherently dangerous demanding very precise assembly tasks, and so flexible automation
-
treatment processes through advanced machine learning, validated against physics-based models and experimental data. 2. System Integration: Integrating the DTs into material and energy balance equations
-
hypothesis of the proposed research is by use of intelligent and integrated control of the input power electronics, fluid handling, and thermal control in a holistic approach, current efficiency and lifespan
-
for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection
-
offering one funded PhD position investigating how LLMs represent and process linguistic knowledge, drawing on tools from computer science, linguistics, and neuroscience. The aim is to build new