Sort by
Refine Your Search
-
Interested in enzymatic bioelectrochemistry? If yes, we look forward to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience
-
yourself as a team player with strong collaborative skills? If yes, we look forward to reading your application to our PhD Stipend/Integrated PhD Stipend. At the Faculty of Engineering and Science
-
PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
-
) includes research and teaching, including supervision of master and PhD students. Further, it includes dissemination, government consultancy, and cooperation with the building industry as well as development
-
nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
-
methodological development and applied research by: Collecting, structuring, and analyzing data on existing energy supply (electricity, heating/cooling, fuels), infrastructure, and industrial consumption patterns
-
close to completing, a PhD in a field relevant to management accounting or somewhat similar and be able to demonstrate the potential for developing an independent research profile. We value candidates who
-
At the Faculty of Engineering and Science, Department of Mathematical Sciences, one or more PhD stipends/Integrated PhD stipends in inference and modeling of Quantum transduction processes
-
parametric reduced order models of operating wind turbines, information contained in their differential geometry and safe data-driven control/reinforcement learning tools jointly developed with the second PhD
-
with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group