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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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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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to machine learning. This PhD provides a unique opportunity to shape emerging concepts in Artificial Intelligence Informed Mechanics (AIIM), combining fundamental research with methodological innovation. You
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the NordForsk project ‘RISK-AI’ 230778. https://www.nordforsk.org/projects/responsible-innovation-and-social-knowledge-artificial-intelligence-risk-ai and is based at the Department of Computer Science in
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to SAFE. Delivering EVU course from SAFE center. Required selection criteria A PhD degree (or equivalent) in biometrics, information security, computer science, electrical engineering, or machine learning
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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. You will become part of a dynamic, collaborative working environment with expertise in drilling engineering, geomechanics, machine learning, and energy systems. The project will integrate real‑time
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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learning, can guide self-healing decisions in a way that reduces downtime without inducing oscillation or cascading secondary failures. The research focus is hands-on and systems-oriented: the candidate will