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and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable
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and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable
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state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers
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knowledge of software development and computer science, as well as good skills in oral and written communication in English. Additional knowledge in mathematics, ICT/Cloud architectures, and the Swedish
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knowledge of software development and computer science, as well as good skills in oral and written communication in English. Additional knowledge in mathematics, ICT/Cloud architectures, and the Swedish
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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for tabular-native models. This can involve, for example, studying new TRL model architectures, serialization and tokenization techniques, among others. A strong interest and background in AI and/or NLP
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, Information Technology and Electrical Engineering Faculty (Steve Völler), Department of Architecture and Technology (Prof. Arild Gustavsen) About the project The PhD project is related to development of a new battery
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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to: design and perform experiment in different labs develop hand-on skills to fabricate high-performance battery You are expected to develop your own scientific concepts and communicate the results of your