Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
-
. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
-
involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. Your profile We are looking for an ambitious and technically strong candidate who is
-
(International Staff Mobility). Application procedure Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your application must include the following documents
-
electronic conversion, energy and hydrogen storage, downstream processes, and energy demand—to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start
-
marginalising others, and how these processes contribute to educational inequities. Combining perspectives from educational studies, anthropology, embodiment studies, and critical disability studies, the project
-
to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be involved in collaboration with industrial
-
research profile is clearly connected to thermal Modelling, and you can demonstrate experience with CFD modelling. You have solid skills in modelling and simulation using Tools and data processing and
-
against different operation conditions. The position is a part of a research project and prototype battery modules will be produced by one of the partners. The tasks include testing of these prototype
-
non-stationary environments with application to adaptive robotic systems and embodied AI, while translating these insights into scalable, high-fidelity simulation implementations. Research Environment