Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- DAAD
- Technical University of Denmark
- Utrecht University
- Chalmers University of Technology
- Cranfield University
- Ghent University
- Monash University
- Technical University of Munich
- University of Nottingham
- ; The University of Manchester
- Humboldt-Stiftung Foundation
- NTNU - Norwegian University of Science and Technology
- Vrije Universiteit Brussel
- ; Loughborough University
- Curtin University
- Swinburne University of Technology
- University of Adelaide
- University of Southern Denmark
- ;
- ; Cranfield University
- ; University of Southampton
- Abertay University
- Forschungszentrum Jülich
- Hannover Medical School •
- KNAW
- Leibniz
- Trinity College Dublin
- Universite de Moncton
- University of Groningen
- University of Potsdam •
- University of Twente
- Virginia Tech
- ; Aston University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of East Anglia
- ; University of Leeds
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Ariel University
- European Magnetism Association EMA
- Freie Universität Berlin •
- Imperial College London
- Institut Pasteur
- James Cook University
- La Trobe University
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- NORCE
- Newcastle University
- Norwegian Meteorological Institute
- RWTH Aachen University
- Roma Tre University
- Technische Universität Berlin •
- The University of Iowa
- UiT The Arctic University of Norway
- Ulm University •
- Universiteit van Amsterdam
- University of Bremen •
- University of Copenhagen
- University of Göttingen •
- University of Innsbruck
- University of Luxembourg
- University of Newcastle
- University of Oslo
- University of Sheffield
- University of Stuttgart •
- WIAS Berlin
- Wageningen University and Research Center
- jobs.ac.uk
- 63 more »
- « less
-
Field
-
computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
-
a comprehensive, multi-fidelity suite of liquid hydrogen (LH2) pump models to predict and analyze pump performance, stability, and its interaction with the broader fuel system architecture for a
-
on these materials, which will be used to implement high frequency and high efficiency IVRs for HPC applications. Objectives:-Fabrication, characterization and modeling of the composite magnetic materials.-Modeling
-
machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
-
response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design platforms. Furthermore, REUNATECH
-
with GKN Aerospace Sweden with partial work there and combines numerical and experimental research. Project overview The purpose of this project is to contribute to the development of an ultra-efficient
-
the areas of fluid dynamics, turbulence and net-zero combustion. There is substantial scope for the student to direct the project with the main focus on (i) Generating an advanced Direct Numerical Simulation
-
, control), physical and numerical modelling (2D/3D) Independent research in the field of the dissertation topic Independent teaching, language of instruction German Collaboration in various research projects
-
• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
-
targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating