Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- Technical University of Munich
- Technical University of Denmark
- Nature Careers
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ghent University
- Monash University
- University of Groningen
- Chalmers University of Technology
- Curtin University
- University of Southern Denmark
- ; The University of Manchester
- DAAD
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Adelaide
- University of Twente
- Vrije Universiteit Brussel
- ; Swansea University
- Imperial College London
- Radboud University
- SciLifeLab
- University of Cambridge
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Leeds
- Aalborg University
- Erasmus University Rotterdam
- Linköping University
- Susquehanna International Group
- University of Copenhagen
- University of Nottingham
- University of Southern Queensland
- ; Aston University
- ; Brunel University London
- ; University of Birmingham
- ; University of Bristol
- ; University of East Anglia
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Aarhus University
- Blekinge Institute of Technology
- CSIRO
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- 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
- The University of Alabama
- Trinity College Dublin
- University of Antwerp
- University of Bern
- University of Bremen •
- University of Minnesota
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of Oslo
- University of Potsdam •
- University of Texas at Austin
- Uppsala University
- Utrecht University
- Wageningen University and Research Center
- 67 more »
- « less
-
Field
-
Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
-
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
-
. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC
-
leverage low-precision accelerators for scientific computing by using a number of tricks, known as "mixed-precision" algorithms. Developing such algorithms is far from trivial. We can look at computational
-
integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
-
on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
-
involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
-
equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
-
formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context
-
-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution