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will be conducted within the Machine Learning Research Group at the Department of Computer Science and Communication, in collaboration with Østfold Hospital Trust, and will focus on developing novel
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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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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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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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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scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both
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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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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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these challenges by combining advanced metrology, data science, and machine learning to develop predictive models and new standards for recycled plastics. Based at the University of Manchester, in collaboration with
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). Despite its innovative nature, the project is grounded in complementary expertise and strong collaboration between the partners, ensuring feasibility and successful integration of hydrogels with organ