Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
-
fellowship in Experimental Quantum Physics . The project is part of the research project “Hybrid Quantum Networks”, which is financed by the Danish National Research Foundation. Start date is (expected to be
-
, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems. CLASSIQUE will address a
-
Support for accompanying family members through the AAU+1 spouse and partner network Danish language courses Application Procedure To apply, please submit: Motivation letter indicating which of the three
-
and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel robot solutions together
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidate will be made by Professor Lars Jelsbak and Post Doc Carlos Neftaly
-
horizons for advanced technologies. Responsibilities and qualifications The PhD project will focus on the design, synthesis, and characterization of new types of metal-organic network structures, which
-
concentration polarization mitigation to reduce fouling and improve the net power generation in a PRO process. In addition, membrane cleaning strategies need be applied to improve the lifespan of the system. You
-
for Microbial Communities that has approx. 50 scientists at various career levels, working with structure and function of microbial communities, primarily related to environmental microbiology and biotechnology
-
) for application-oriented industrial applications. Our group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging