Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
millions of US Dollars. Ensuring that contracts cannot be exploited is critical. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity
-
exploited is critical. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity language. While our current digital infrastructure relies
-
mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
-
require the design of architectures suitable for real-life problems. Moreover, appropriate mathematical methods, algorithms, and applications are required. Simulators are a recognized method for
-
such as textiles. 2. Proven ability to develop and implement advanced motion-planning algorithms and real-time control schemes, ideally demonstrated through digital-twin simulations and hardware-in-the-loop
-
ability to effectively deal with external developments such as staff shortage. This will be based on insights into the characteristics of operations, and attributes (e.g., learning demand, availability
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data