Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- CNRS
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Newcastle University
- University of Twente (UT)
- Aalborg University
- DIFFER
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Queensland University of Technology
- Technical University Of Denmark
- Technical University of Munich
- The University of Manchester
- University of Luxembourg
- University of Nottingham
- University of South-Eastern Norway
- Aalborg Universitet
- Amsterdam UMC
- Brunel University
- CEA Paris-Saclay
- Duke University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Faculdade de Ciências e Tecnologia
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- IDAEA-CSIC
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Korea University
- Manchester Metropolitan University;
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Monash University
- National University of Singapore
- Technische Universität München
- The University of Manchester;
- The University of Newcastle
- Trinity College Dublin
- UNIGE
- University of Amsterdam (UvA)
- University of Bergen
- University of Birmingham
- University of East Anglia
- University of Twente
- University of Warwick;
- Université Libre Bruxelles
- Vrije Universiteit Brussel
- 36 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(www.code-saturne.org ), EDF developed recognized expertise in neural-network-based learning for handling simple fluid flows with high accuracy [Meyer et al., 2021]. In 2022, an algorithm hybridizing POD
-
the viscosity of flows. Job description Continuous, non-invasive measurements of fluid properties are instrumental in factories that produce food, medicine and semiconductor products such as microchips and solar
-
). Stephen Griffies, who was awarded a Choose France fellowship, spent much of his career at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) and Princeton University. Together with Gurvan Madec, he is
-
Ultrasound sensors for quantitatively measuring the viscosity of flows. Job description Continuous, non-invasive measurements of fluid properties are instrumental in factories that produce food
-
-resolved simulations. In case a fluidized bed is chosen, a traditional Eulerian Two-Fluid model (TFM) will be compared with a novel Lagrangian Continuous Particle Model (CPM). Initially, engineering
-
geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
-
Technology, New University of Lisbon, Prof. Dr José Júlio Alves Alferes, hereby announces that, by order of 06/07/2026, is open for a period of 15 days, from the day following of publication of the Notice
-
methodologies for both insulation systems, recognising that solid insulation materials are typically qualified to operate at significantly higher temperatures than the cooling fluid. Based in the Rolls-Royce UTC
-
stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as
-
expertise in every aspect of the project from the outset. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It