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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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in a suitable software environment, with documented experience. Experience in applying or developing machine learning models for atomistic systems (in chemistry or physics) is advantageous
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others, we are a key partner in the joint SLU and Umeå University - CERE ; we host the head office of European Forest Institute’s Forest Bioeconomy Network . The Department has strong domestic and
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our societies rely on computer systems and on software stacks. Unfortunately, software
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challenges in distributed systems and mobile networks, enabling the mobility, ubiquity, security, and interactivity of computers, data, software, and users. Project description You will be working in
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challenges in distributed systems and mobile networks, enabling the mobility, ubiquity, security, and interactivity of computers, data, software, and users. Project description You will be working in
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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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benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https
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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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solutions. This includes software-defined SoS for the automation and digitalization in production industries. Our research is conducted in close collaboration with industries such as Bosch, Ericsson, Volvo