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universities worldwide. We are looking for a PhD student in Process Metallurgy who will conduct research studies in the field of iron oxide reduction and carburization using alternative hydrogen carriers. We
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build the sustainable companies and societies of the future. Operation and maintenance is a rapidly growing research area, as it is recognized as an important enabler for the business performance by
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computer systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description As a doctoral student, you will be
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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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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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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
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transformation of SMEs through cutting-edge digital innovation and circular business models. Your work will help empower companies to decarbonize, minimize waste, and build resilient, future-proof value chains
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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
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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
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visibility across distributed systems. -Security measures for hybrid cloud-to-edge architectures to protect against diverse threats. The projects aim to further digitalize the European industry, where EISLAB