Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Research Assistant – Application and Development of UPPAAL for modelling, analysis and optimization of Cyber Physical Systems We hereby call for applicants to a full-time 1 year position as research
-
power technologies and systems, energy-saving methods and efficiency optimization in hydraulic applications, digital fluid power systems including digital displacement pumps/motors, systems based on fast
-
machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
-
research lines. Research line 1: "Digital twinning for 3D network optimization" focuses on developing distributed digital twin architectures and mechanisms for distributed network optimization in networks
-
, generative design, building performance optimization, digital design methods (e.g., predictive modeling, multi-agent systems and algorithmic techniques for architectural design), digital design epistemologies
-
previously conducted research or have demonstrated knowledge within some of the following areas: classical and/or quantum data communication, error correction, communication algorithms, optimization algorithms
-
are carried out in direct collaboration with industry to a great extent. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD
-
industry to a great extent. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the postdocs will be positioned to the section
-
security guarantees. Topics include federated learning, secure computation, and robust optimization under adversarial threats. The candidate should have an MSc. in Machine Learning, Computer Science
-
The aim of the project is to generate De novo enzymes to degrade PET from composite fibers from recycled textiles. The first-generation designs will be further optimized after experimental