Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
The construction industry faces numerous documented challenges related to improper waste disposal, including issues such as illegal dumping, litter pollution, and incorrect sorting. A significant
-
driven methods. The Post Doc will be working with the latter. The model structure will be founded on first principles models with parameters that ideally possess physical significance. Parameters
-
. absorbents, but are inherently instable. It is therefore important to uncover methods and processes that can lead to stabilized forms of these crystal structures. We will attempt to synthesize stabilized
-
the surrounding community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
-
the surrounding community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
-
a master's or Ph.D. degree in Electrical Engineering with a focus on RF and antenna design. Experience in the design, simulation, and hardware implementation of reconfigurable intelligent surfaces and
-
the surrounding community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
-
the DESS Research Group:https://www.en.tech.aau.dk/research/research-groups/data-engineering-science-og-systems-dess Qualification requirements: Appointment as Postdoc presupposes scientific qualifications
-
recyclable wind turbine blades in the future. New concepts for blade manufacturing processes using preform technology will be explored and matured together with the development of new blade recycling processes
-
Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
. Qualification requirements: You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data science with emphasis on statistical