17 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" PhD positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
experience in fieldwork and data analysis to technically oriented candidates with expertise in AI and interactive systems development. Scientific dissemination is expected to focus on leading Human-Computer
-
over-the-top and the ongoing development of 5G and 6G. With new network structures, also conditions for content creation changes; it can be assembled ‘on the fly’ allowing for a highly granular and
-
duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment ) for further information. Qualification requirements PhD stipends are allocated to individuals who
-
to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
-
team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
-
. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
-
. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
-
to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by
-
simulation and testing: Developing and using digital twin models to simulate the integrated sensor suite and multi-vehicle behavior. These models will allow for iterative development and testing
-
“baseline” with traditional material characterization methods on selected traditional, reused and novel biobased materials. Development of modelling and testing methods to reveal the complex behaviour