Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- SciLifeLab
- Cranfield University
- ;
- Technical University of Denmark
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- DAAD
- University of Luxembourg
- University of Nottingham
- ; University of Warwick
- Chalmers University of Technology
- Curtin University
- Susquehanna International Group
- Ghent University
- Lulea University of Technology
- Swinburne University of Technology
- Technical University of Munich
- ; Cranfield University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- ; University of Surrey
- Aalborg University
- Abertay University
- Leibniz
- Linköping University
- Monash University
- University of Southern Denmark
- University of Twente
- Utrecht University
- Vrije Universiteit Brussel
- ; Brunel University London
- ; Swansea University
- ; UWE, Bristol
- ; University of Bristol
- ; University of Southampton
- AALTO UNIVERSITY
- CWI
- Canadian Association for Neuroscience
- Empa
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Imperial College London
- La Trobe University
- Leiden University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Umeå University
- University of Adelaide
- University of California Irvine
- University of Göttingen •
- University of Limerick
- University of Newcastle
- University of Oslo
- University of Sheffield
- University of Utah
- Wageningen University and Research Center
- Østfold University College
- 53 more »
- « less
-
Field
-
limiting their ability to perform essential daily tasks. This interdisciplinary PhD project aims to design a new generation of soft exoskeletons using smart textiles, driven by artificial intelligence (AI
-
success for reactions that involve a net gain or loss of electrons: electrochemical reactions. These are an important class of reactions as they can be driven directly by renewable electricity, contributing
-
Job Description If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is
-
their practical deployment. The Project: This PhD will develop the science and engineering required to overcome these bottlenecks, with the following objectives: • Uncover the mechanisms driving enhanced hydrogen
-
. These systems will serve as model platforms for studying high-entropy crystallisation, offering microscopic insight into how molecular-scale parameters control emergent order. Robotic deposition and high
-
In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
-
university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
-
: Experience of data-driven modelling and optimization-based analysis. Knowledge of fluid mechanics. Knowledge of control theory and optimization. Knowledge of partial differential equations. Have a strong
-
academic background, successful candidates should have experience in one or more of the following: Experience of data-driven modelling and optimization-based analysis. Knowledge of fluid mechanics. Knowledge
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast