Sort by
Refine Your Search
-
geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research will
-
which technology and research fields are advancing. Furthermore, you will also extend the indicator beyond novelty toward quality assessment and validate the reliability, robustness, and fairness of LLM
-
companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
-
Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantum Computing for Power Systems Security At the Institute of Climate and Energy Systems Engineering (ICE-1), we
-
The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop
-
computer science, data science, or an AI-related discipline is preferred Strong interest in analyzing scientific literature and patents Strong interest in energy technologies and energy systems research
-
an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How do we build and
-
Wide-bandgap metal-halide perovskites are key absorbers for next-generation multijunction photovoltaics. Their practical use, however, is still limited by compositional instability, phase segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these...
-
The increasing digitalization of modern energy systems, together with the large-scale integration of renewable energy sources and distributed energy resources, is generating unprecedented volumes of heterogeneous operational data. However, limited availability, privacy constraints, and the...
-
Strong confinement in highly disordered and intricate environments is essential for understanding the behavior of a broad class of systems with intrinsic motility. Porous materials -- such as cell cytoplasm, mucus, tissues, gels or soil -- serve as a natural propagation media of most...