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intelligent, adaptive, and sustainable industrial systems. The work involves topics such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable
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supercomputers using quantum-vortex-based superconducting components. We expect that such electronics would be scalable to nanometer sizes and would be suitable both for conventional digital (Boolean logic
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Management offers a collaborative and innovative research environment, working closely with industry to address real-world challenges in digital transformation. The division is known for its strong links
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-studies/. Background and description of tasks PhD project 1: The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
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used to build neural networks using light transmission for connections and interpretation of electrical signals for memory and signal analysis. It will also include the design of nanophotonic elements
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, optimization, signal processing, system identification, or control theory. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and
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artificial intelligence. Start date as soon as possible or as agreed. Apply no later than 2025-07-21. Research focus The doctoral student’s research will examine how digital technologies, particularly social
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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