Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with
-
contribute to the teaching activities of the section of Mechanical Engineering by teaching 1-2 courses per semester. You will focus on developing and extending in-house computational codes based on open-source
-
industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
-
facilities in European Universities. You will be working with a group of professionals in photonic integrated circuits, optical phased array, optical communications, optical computing, electronic circuits
-
The Department of Food Science, section of Ingredient and Dairy Technology, invites applicants for a fulltime postdoctorate fellowship in Food Ingredients Processing. The position is for 2 years, with possibility of extension. The project is part of the larger research project “AI4NaturalFood”,...
-
biomolecules, translational research, and therapeutic development. Are independent, motivated, and excited about growing an ambitious research program. Exhibit excellent communication skills and enjoy
-
information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
-
. We offer an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological
-
University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we
-
, Fortran, or other relevant languages. Knowledge of statistical methods for climate data analysis. Experience with high-performance computing (HPC) environments. A strong publication record relative