Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
. Competences of the ideal applicant: Hold a PhD degree in Chemical Engineering or in a relevant field. Experience with membrane technology in particular process design, scale-up, process modeling or optimization
-
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
-
technology and material science. All interested candidates are encouraged to apply, regardless of their personal background. We value diversity and see it as a strength. You may obtain further information
-
in, Engineering, Data Science, Computer Science or a related field with a strong foundation in physical and data driven modeling, statistics and stochastic processes. Experience in control engineering
-
, mathematics, engineering, or a field relating to data science with emphasis on statistical modelling. You are required to have: Experience with statistical modelling Strong programming skills in one of the main
-
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 construction industry faces numerous documented challenges related to improper waste disposal, including issues such as illegal dumping, litter pollution, and incorrect sorting. A significant portion of this waste could be repurposed within a circular market, yet the construction industry...
-
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
-
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