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 Nottingham
- ; Swansea University
- Curtin University
- Leibniz
- Monash University
- University of Copenhagen
- 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
- 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
- National Institute for Bioprocessing Research and Training (NIBRT)
- 89 more »
- « less
-
Field
-
modeling & environmental risk assessment. Numerical simulation techniques for hydrogeological systems. Advanced uncertainty quantification for robust modeling. Scientific communication, including
-
experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
-
., extracted from the collected data) and “predications” (generated by the C2 operational model). The tool will detect subtle discrepancies indicative of stealthy data manipulation with zero false alarms
-
the carbon footprint of milk production. The project will apply advanced statistical methods, artificial intelligence, and cutting-edge genetic models to support and enhance management and breeding decision
-
science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage
-
experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
-
collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
-
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
-
MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
-
. Objectives: -Fabrication, characterization and modeling of the composite magnetic materials. -Modeling, fabrication, characterization and of the embedded power magnetic core inductors. -Implementation