Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
three core thematic areas: Responsible Industry Innovation: Examining how firms and industries can innovate responsibly, balancing economic performance with social and environmental sustainability. Public
-
on previous research at Cranfield, which has demonstrated the benefits, the project investigates the impact of various porous structures on aerodynamic performance. Focus is placed on the entire incompressible
-
combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales
-
their performance for a range of applications. A focus will lie on quantum algorithms for many-body systems, in particular on classical shadows. Here, you will also transfer results for qubits to fermions
-
perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR
-
this project, there will be multiple opportunities to collaborate with internal and external partners, supervise Master’s students, give oral presentations at conferences, write high-impact journal articles, as
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
institution Outstanding academic performance Language requirements Excellent English and at least basic German skills Application deadline For the summer semester (i.e., April to September), applications have
-
organisation The thesis projects are developed and supervised by two professors. Methods courses give opportunities to learn and perform new techniques. This programme cooperates with the Ruhr-Universität
-
of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data