Sort by
Refine Your Search
-
analytics methods for the study of historical paintings in an interdisciplinary research environment. You will contribute to the development of state‑of‑the‑art methods that advance the analysis of complex
-
project, you will develop methods to assess goodness-of-fit for latent variable models for multiple omics datasets and develop flexible models for longitudinal designs. You will apply your approaches
-
optimization methods for run-time network configuration and control. You will design efficient and lightweight learning-based techniques for automated scheduling, network resource allocation, and parameter
-
optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems
-
, and the energy transition. Demonstrable experience with scenario analysis, foresight methods, or system-level analysis. Experience with qualitative and quantitative data analysis; familiarity with
-
component descriptions, and how these components can be interconnected. We are looking for a candidate with strong programming skills; prior experience in applying and understanding generative AI methods and
-
team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor
-
, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
-
cardiovascular applications, using integrated computational and experimental methods. The group focuses on developing a deep understanding of how mechanical stimulation regulates growth and remodeling, with