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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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academia. This PhD fellowship is intended to collaborate with and be an integral part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN). Your immediate leader will be
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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approaches, including Low Impact Development (LID) practices (e.g., green roofs, rain gardens), with a specific focus on urban catchments. The research will place a strong emphasis on machine learning
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, and Machine Learning/AI 5G on organisations from both the private and public sectors
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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is intended to collaborate with and be an integral part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN). As a PhD Candidate with us, you will work to achieve your
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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research centre in Poland.Research conducted at the Institute focuses on issues directly related to health protection and improving the quality of life. The Institute's main mission is to learn
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02.07.2025 Application deadline: 20.07.2025 The DFG-funded project in the newly established Collaborative Research Center (SFB 1718) “Common ground”, hosted by the University of Tübingen, is