Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Technical University of Denmark
- ; The University of Manchester
- Forschungszentrum Jülich
- Monash University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- University of Southern Denmark
- Curtin University
- DAAD
- RMIT University
- Umeå University
- University of Nottingham
- University of Twente
- ; Swansea University
- Ghent University
- University of Adelaide
- University of Groningen
- University of Southern Queensland
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Leeds
- Aalborg University
- Linköping University
- Radboud University
- SciLifeLab
- Susquehanna International Group
- University of British Columbia
- University of Cambridge
- Vrije Universiteit Brussel
- ; Aston University
- ; Newcastle University
- ; University of Birmingham
- ; University of Bristol
- ; University of Essex
- ; University of Exeter
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- ; University of York
- Aarhus University
- Blekinge Institute of Technology
- Chalmers University of Technology
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- Helmholtz-Zentrum Geesthacht
- Imperial College London
- Institut Pasteur
- Leibniz
- Leiden University
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- McGill University
- Purdue University
- Queensland University of Technology
- Saarland University •
- The University of Alabama
- Trinity College Dublin
- University of Bern
- University of Bremen •
- University of Copenhagen
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of Oslo
- University of Texas at Austin
- Uppsala University
- 61 more »
- « less
-
Field
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
-
sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
-
-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
-
safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
-
algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
-
of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
-
scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
-
control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
-
microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
-
input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of