Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- Imperial College London;
- University of Birmingham
- The University of Manchester
- Harper Adams University
- Loughborough University;
- UNIVERSITY OF VIENNA
- University of Exeter
- University of Exeter;
- University of Sheffield
- Loughborough University
- UCL
- University of Bristol
- University of East Anglia
- University of Plymouth
- University of Surrey
- University of Warwick
- ;
- Imperial College London
- Lancaster University
- Manchester Metropolitan University
- The University of Edinburgh
- University of Bergen
- University of Birmingham;
- University of Cambridge
- AALTO UNIVERSITY
- Abertay University
- Atlantic Technological University
- Bangor University
- Cranfield University;
- Edge Hill University
- Manchester Metropolitan University;
- Maynooth University
- Swansea University
- Swansea University;
- The University of Edinburgh;
- The University of Manchester;
- University College Dublin
- University of Bradford;
- University of Bristol;
- University of Cambridge;
- University of Leeds
- University of Leeds;
- University of Liverpool
- University of Oxford
- University of Oxford;
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Surrey;
- University of Westminster
- 42 more »
- « less
-
Field
-
state-of-the-art high performance computing facilities, mathematical training, and world-leading international collaborations. Application procedure All applications must be submitted via the Jobbnorge
-
ranked as world leading or internationally excellent, and benefit from state-of-the-art high performance computing facilities, mathematical training, and world-leading international collaborations
-
crucial for ensuring grid stability and economic operation in future high, medium transmission and low voltage power distribution networks. This integration introduces significant challenges in voltage and
-
, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies
-
package on monitoring and simulation of neighbourhood-level energy performance using aerial thermography and ground-based measurements. Develop ML/AI based building heat transfer and loss, indoor
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
About the Project Project details: Aerial platforms such as Unmanned Aerial Vehicles (UAVs), High-Altitude Platforms (HAPs), and Low Earth Orbit (LEO) satellites will play a vital role in the next
-
, attention, impulse control, emotional regulation, adaptive functioning and social interaction. Without appropriate support, these difficulties contribute to poor educational, social and wellbeing outcomes
-
, generally used in all-solid-state lithium-ion batteries, face hurdles like low ionic selectivity and conductivity, brittleness, chemical instability, and high production costs. Driving Li⁺ migration often
-
fields for 3D reconstruction. This position provides an opportunity to collaborate with scientists from partner institutes around the world. You will also receive specialized training in high-performance
-
to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose