Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- Ecole Centrale de Lyon
- Imperial College London
- Linköping University
- Nature Careers
- Technical University of Munich
- ETH Zürich
- Forschungszentrum Jülich
- IFP Energies nouvelles (IFPEN)
- NTNU Norwegian University of Science and Technology
- Tallinn University of Technology
- Ariel University
- Babes-Bolyai University
- CY Cergy Paris University
- Centrale Lille Institut
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Cranfield University
- Ecole Centrale de Nantes
- Ecole Polytechnique Federale de Lausanne
- European Synchrotron Radiation Facility
- Faculty of Sciences of the University of Porto
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- LInköpings universitet
- Lulea University of Technology
- Luleå tekniska universitet
- Maastricht University (UM)
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for Sustainable Materials •
- Newcastle University
- Technion - Israel Institute of Technology
- Technische Universitaet Dresden
- The University of Manchester
- The University of Manchester;
- Universite Grenoble Alpes
- University of Amsterdam (UvA)
- University of Birmingham
- University of Helsinki
- University of Nottingham
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Stuttgart
- University of Twente (UT)
- Università Vita-Salute San Raffaele
- Wetsus - European centre of excellence for sustainable water technology
- 35 more »
- « less
-
Field
-
inheritance played a fundamental role in controlling deformation, fluid flow and mineral system development. However, the geometry, kinematics, timing and tectonic significance of these inferred basement
-
will work towards the specific challenge of understanding the formation of bandgaps in swept wing transitional fluid flows and using them to suppress wave-like boundary layer instabilities, thus delaying
-
these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and
-
-conductivity room-temperature liquid metal (non-toxic and non-combustible) as the heat transfer fluid, aiming to achieve a 30% reduction in cost and a 50% reduction in critical materials. Your Role: The Heart
-
solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
-
how to safely utilize AI in our daily lives. This PhD project has three objectives: (1) Build an app containing children’s games that assesses fluid intelligence accessible to both humans and AI. (2
-
in linear and nonlinear Partial Differential Equations and/or Fluid Mechanics Capability of working within a project team with the goal of achieving outstanding results. Good communication and
-
for a PhD education. Strong background in thermodynamics, fluid mechanics, and combustion. Experience with laboratory and experimental work, including experience working with risk assessments in lab
-
horizontal “team spirit” and continuously traverse boundaries between theory, simulations, and experiments towards understanding and controlling fluid flows. Our team, strives for a co-creative and stimulating
-
Application deadline: 30/06/2026 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The