-
, we are responsible for mathematics and mathematics didactics in about 20 educational programs. The postdoctoral fellowship is funded by the Carl Trygger Foundation and focuses on analysis or numerical
-
products are highly influenced by the surface properties of raw materials. This postdoctoral project aims to provide knowledge on the surface quality of raw materials and its relationship with wettability
-
of information visualization, visual analytics, applied machine learning but possibly also in the areas of the domain experts. Within the DISA environment, large and complex data sets from various domain areas
Searches related to postdoctoral machine learning
Enter an email to receive alerts for postdoctoral-machine-learning positions