Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
-
methods and their application is advantageous. Experience in design, execution and analysis of field-based experiments, preferably involving ecological interactions is considered advantageous. Proven
-
that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
-
, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
-
, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
-
, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
-
reasoning approaches that can revise their conclusions in face of new evidence/knowledge. The plan is to cover both nascent approaches that are considered promising facilitators of the fusion of subsymbolic
-
for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description You will be working in the field of systems and synthetic
-
transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. The project aims to design data-driven
-
on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing