Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Nature Careers
- Technical University of Munich
- ;
- Technical University of Denmark
- DAAD
- Utrecht University
- University of Southern Denmark
- Ghent University
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- Queensland University of Technology
- ; The University of Manchester
- Chalmers University of Technology
- University of Copenhagen
- University of Nottingham
- ; Swansea University
- Curtin University
- Leibniz
- Monash University
- University of Groningen
- ; Newcastle University
- ; University of Birmingham
- Leiden University
- Susquehanna International Group
- Swinburne University of Technology
- University of Sheffield
- University of Utah
- ; Cranfield University
- ; The University of Edinburgh
- AALTO UNIVERSITY
- Aalborg University
- Empa
- Nord University
- Roma Tre University
- SciLifeLab
- Swedish University of Agricultural Sciences
- UiT The Arctic University of Norway
- University of Antwerp
- University of Luxembourg
- University of Oslo
- University of Twente
- Vrije Universiteit Brussel
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Exeter
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- Abertay University
- Aristotle University of Thessaloniki
- CNRS
- CWI
- Erasmus University Rotterdam
- GFZ Helmholtz Centre for Geosciences
- NORCE
- Purdue University
- RWTH Aachen University
- Umeå University
- Universite de Moncton
- University of Bergen
- University of British Columbia
- University of Cambridge
- University of Newcastle
- University of Tübingen
- University of Vienna
- Wageningen University and Research Center
- ; Aston University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Greenwich
- ; University of Nottingham
- ; University of Reading
- ; University of Warwick
- AIT Austrian Institute of Technology
- Ariel University
- Arizona State University
- Brookhaven Lab
- CEA
- CSIRO
- Delft University of Technology
- European Magnetism Association EMA
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- ICN2
- IMEC
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- La Trobe University
- Leiden University; Leiden
- Leipzig University •
- Linköping University
- Lulea University of Technology
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Mälardalen University
- NHH Norwegian School of Economics
- 89 more »
- « less
-
Field
-
, 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
-
to facilitate a rapid and efficient exchange among experimental and computational groups and Devise an approach in invertible predictive modelling that links semiconductor properties to the composition of lead
-
modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
-
gyre (SPG) and Arctic and Antarctic sea ice cover, involving processes on smaller scales, which are often not well represented in modelling efforts focusing on the large scale tipping elements
-
physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
-
problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
-
response timelines. Building on this foundation, the project will apply scenario modelling and simulation techniques to investigate emergency event propagation, routing strategies, vehicle-task assignment
-
tasks will be to: Develop and implement machine learning models for dynamic simulations of renewable power systems Develop comprehensive guidelines for verifying and testing dynamic equivalents Integrate
-
of bespoke probabilistic models and/or evolutionary simulations, robust knowledge of and an affinity towards mathematical, computational or probabilistic modeling are important. Further skills in modeling and
-
with host bacteria during infections, particularly focusing on the use of E. coli and its related phages as model organisms. However, the results may be applied in pathogenic bacteria related to E. coli