Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- Inria, the French national research institute for the digital sciences
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Twente (UT)
- Aalborg Universitet
- Aalborg University
- Amsterdam UMC
- DIFFER
- ETH Zürich
- Forschungszentrum Jülich
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- IDAEA-CSIC
- Imperial College London
- KU LEUVEN
- Korea University
- Max Planck Institute for Sustainable Materials •
- Paul Scherrer Institut Villigen
- Technical University Of Denmark
- Technische Universität München
- The University of Manchester;
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Birmingham
- University of Luxembourg
- University of South-Eastern Norway
- Université Libre Bruxelles
- 17 more »
- « less
-
Field
-
(focusing on polar and alpine environments) and geophysical fluid dynamics. We collaborate with several colleagues from the Physics Laboratory, who are experts in hydrodynamics/climate research (about 15 PIs
-
. Job requirements You are have a strong interest in experimental fluid dynamics and are motivated to push the boundaries of measurement techniques for full-scale measurements. You also have the following
-
At AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1/9-2026 or soon hereafter. The duration of the position is three
-
(IAS-2), we employ theory, modeling, and simulation to study and understand the structure, self-assembly, and dynamics of complex fluids, active soft matter, and living matter - on the basis of physical
-
experimental research and laboratory work. You have a proven interest/background in thermal hydraulics (fluid dynamics and heat transfer). You enjoy designing, building and operating experimental facilities. You
-
of avoidance in birds. The PhD will develop an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics
-
an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This
-
of critical infrastructure in a rapidly changing security environment. The project is carried out with an accompanying PhD project in computational mechanics that will focus on numerical simulation of fluid
-
with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational