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study and other ongoing translational initiatives to develop a voice-based digital health solution to alleviate the diabetes burden. Project objective The PhD candidate will work at the interface
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The successful candidate will be a member of the Department of Behavioural and
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live in. Your role We are seeking a highly motivated and talented Doctoral Candidate (PhD Student) to join our research team focused on melanoma drug resistance. The successful candidate will engage in
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join the dynamic and interdisciplinary xCIT research group (https://xcit.org/ ), which is composed of researchers working on how to use and create digital technologies to study and improve human's lives
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role We seek a candidate interested in increasing our knowledge on the social determinants
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the interaction between network exposure and resource allocation. In this context, your main focus will be to: - Investigate network exposure mechanisms related to 5G core network functions and network
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. Role-specific requirements •Start date: September 2025 •Trial period: 6 months •Teaching load: 128 hours (tutorial-equivalent) •No additional teaching hours (64 hours of teaching relief for this specific
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and epidemiological characterisation of cardiovascular risk among people living with T1D, using multimodal data in the large SFDT1 cohort study. This work will lay the groundwork for developing novel