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communication skills in English are essential. Prior expertise in architecture is not required. Experience with HCI research, digital prototyping, and/or AI tools is an advantage. Qualification requirements PhD
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engineering, digitalization and application development, or a related discipline. Experience with user studies and design methods will be considered an advantage. The ideal candidate is motivated to work in
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-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and intelligent transport. International evaluations place DESS in
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Federated Cloud Computing ( HCC ) We invite applications for a fully-funded 3-year PhD position on the topic of usable decentralization, i.e. on making distributed and federated cloud services accessible
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power electronic design, modelling and simulation tools, and hardware development Knowledge of digital control implementation, testing, and characterization of power electronic components is expected