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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position (see: https://www.ntnu.edu/studies/phd/regulations ). Preferred selection criteria Experience with digital
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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: 4 years Start date: August 2026 at latest position This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join
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. The research will also involve using software-defined radios (SDR) and digital signal processing for antenna beamforming. The payload may also be used to detect GNSS jamming and spoofing events. The project is
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also involve using software-defined radios (SDR) and digital signal processing for antenna beamforming. The payload may also be used to detect GNSS jamming and spoofing events. The project is funded by
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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cookie and refresh page to watch video, or click here to open video) About the position Distributed machine learning takes advantage of communication and distributed computing to utilise distributed data
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, a lot of digital traces are left for those in the form of technical drawings stored in different file formats (e.g. TIFF, PDFs). In addition, more complex models such as 3D representations of products
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research on how gender roles, parental leave, and traditional values in communities influence men’s life outcomes. Project description The PhD candidate will be part of an interdisciplinary team