Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Nature Careers
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- RMIT University
- Technical University of Denmark
- DAAD
- Ghent University
- Monash University
- Technical University of Munich
- Chalmers University of Technology
- Cranfield University
- Curtin University
- ; The University of Manchester
- Utrecht University
- SciLifeLab
- University of Nottingham
- Forschungszentrum Jülich
- University of Southern Denmark
- Leibniz
- Aalborg University
- Queensland University of Technology
- University of Luxembourg
- ; University of Birmingham
- Swedish University of Agricultural Sciences
- University of Twente
- Ludwig-Maximilians-Universität München •
- University of Antwerp
- ; Swansea University
- Wageningen University and Research Center
- ; University of Nottingham
- Leiden University
- ; Cranfield University
- ; University of Warwick
- The University of Iowa
- University of Cambridge
- Umeå University
- University of Oslo
- University of Tübingen
- Fraunhofer-Gesellschaft
- Linköping University
- University of Sheffield
- ; Newcastle University
- Duke University
- Lulea University of Technology
- Susquehanna International Group
- The University of Auckland
- University of Adelaide
- University of Copenhagen
- ; Loughborough University
- ; University of Oxford
- ; University of Southampton
- Cornell University
- Empa
- MASARYK UNIVERSITY
- Purdue University
- Swinburne University of Technology
- Trinity College Dublin
- University of British Columbia
- VIB
- University of Manchester
- ; University of Bristol
- ; University of Exeter
- ; University of Surrey
- Flinders University
- Heidelberg University
- ; University of Sheffield
- Erasmus University Rotterdam
- University of Göttingen •
- University of Utah
- University of Vienna
- ; The University of Edinburgh
- CWI
- Max Planck Institute for Biogeochemistry, Jena
- Mälardalen University
- OsloMet
- Radboud University
- University of Lund
- University of Oxford
- Vrije Universiteit Brussel
- ; Edge Hill University
- ; University of East Anglia
- ; University of Leeds
- Carnegie Mellon University
- Copenhagen Business School , CBS
- ETH Zurich
- Friedrich Schiller University Jena •
- Helmholtz-Zentrum Geesthacht
- Humboldt-Stiftung Foundation
- Imperial College London
- Nord University
- The Ohio State University
- University of Bergen
- University of Newcastle
- ; Brunel University London
- ; University of Sussex
- AALTO UNIVERSITY
- Aarhus University
- Columbia University
- Georgetown University
- 90 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Economics
- Materials Science
- Mathematics
- Linguistics
- Chemistry
- Science
- Environment
- Arts and Literature
- Social Sciences
- Business
- Earth Sciences
- Humanities
- Psychology
- Electrical Engineering
- Philosophy
- Physics
- Education
- Law
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
-
the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. Generative models, such as large language models (LLMs), have exhibited remarkable success in
-
This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
-
for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
-
health with the aim of creating healthier spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based
-
transport properties over time. Simulating these processes is computationally demanding, as it requires large time and length scales, and existing classical models fail to capture the intricate interactions
-
, or dynamic models to predict gene regulatory interactions. Work with digital twin technology, simulating patient-specific disease progression and treatment responses. Collaborate in an interdisciplinary
-
In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and machine learning algorithms and to assess when AI predictions are likely to be correct and when,...
-
In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and machine learning algorithms and to assess when AI predictions are likely to be correct and when,...
-
to develop a simple and reproducible cell-based model to investigate how the changes in blood flow associated with pre-eclampsia damage the syncytiotrophoblasts leading to the detrimental release of factors