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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it
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degree (magisterexamen) of 60 credits in computer science, computer engineering, electrical engineering, or another relevant field* You will need strong written and verbal communication skills in English
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typically involve working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key
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based integration of software-defined CPS (Cyber-Physical Systems) and IoT devices. -Replication and software updates during runtime for mission-critical devices and systems. -Model based engineering
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aspects of industrial software systems and components. You will present your results at international conferences and in scientific journals. To support your dissertation work, you will take courses in
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aspects of industrial software systems and components. You will present your results at international conferences and in scientific journals. To support your dissertation work, you will take courses in
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, the cores of the systems’ reasoning engines typically remain ‘symbolic’ (knowledge-based). These symbolic or neuro-symbolic software systems are of high practical complexity, which makes them difficult