Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
on understanding and controlling the structure of the casein micelle (CM), a key component in dairy systems, under various simulated processing conditions. The project will be caried out in close collaboration with
-
create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
-
The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
-
the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with
-
candidate will contribute to the SECUREAM research project, focusing on enhancing cyber resilience solutions for digital Additive Manufacturing (AM) processes and workflows in close collaboration with leading
-
. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
-
well-organized, self-motivated, result-oriented and capable of working independently in a collaborative setting You have strong analytical communication and computer skills Proficiency in spoken and
-
and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a multidisciplinary approach is essential