Research Focus 3
Life Science, Automation and Information Technology
This subject area develops concepts, methods and technologies that manifest themselves in interoperable solutions via appropriately networked infrastructures, applications and data, temporarily or permanently as required, with a focus on innovative production, process or digital ecosystems.
Subject Area (DFG Classification of Subject Areas):
- Biology
- Computer Science, Systems and Electrical Engineering
- Materials Science and Engineering
- Mechanical and Industrial Engineering
- Medicine
Keywords:
- Big data and AI applications
- Secure and networked systems
- Mechatronics
- Medical engineering
- Health
- Autonomous systems
Research Projects of Focus 3
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Development of Technical Solutions for the Usability of the TrainOXY Sensor in Practical Training Operations
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Automation of a Universal Die with Single Approach Punches
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