Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- ;
- Ghent University
- RMIT University
- University of Oslo
- Copenhagen Business School , CBS
- ; Swansea University
- Chalmers University of Technology
- Cranfield University
- Monash University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Technical University of Denmark
- University of Copenhagen
- University of Groningen
- University of Nottingham
- University of Southern Denmark
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; The University of Manchester
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- Curtin University
- DAAD
- European Magnetism Association EMA
- ICN2
- KNAW
- Leiden University
- Nord University
- Radboud University
- Technical University of Munich
- University of Antwerp
- University of Cambridge
- University of Münster •
- University of Twente
- University of Tübingen
- Utrecht University
- 28 more »
- « less
-
Field
-
of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly
-
to date by validating numerical models against test data, before undertaking parametric studies to investigate the sensitivity of the key variables that affect the flexural performance of composite steel
-
– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
-
of work as a case study, this PhD will contribute new knowledge to the fields of archival and performance research, generating a model of practice that can be utilised by other artists. Structured over
-
models considering networks of patches and their species and interactions composition to predict spatial and temporal community structure across restoration gradients, aimed at developing a predictive
-
the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
-
complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
-
of the data. Our response to climate change will change the composition of air pollution factors children and adolescents are exposed to. Many air pollutants are expected to reduce, but some may increase
-
. You enjoy combining experimental laboratory work with theoretical analysis and modelling. While your main focus will be the research project and your own development as a researcher, the position also
-
Tomography (CT) – two key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyze manually, increasing