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PhD Scholarship - Novel methods to enhance the use of routinely collected linked data for the evaluation of government policies related to healthy ageing Job No.: 691415 Location: Frankston
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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collaborative research environment, with strong links to the NHS, local authorities, and community partners. During the placement, the student will engage with rich cohort data, and learn about the design
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useful information beyond established clinical risk scores. Phase 2: Linking clinical status to atrial electrical remodelling (n ~100): In a clinical ablation cohort, we will relate standard procedural
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PhD Position in Statistical Physics & Data-Driven Viral Evolution Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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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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research and participation in international research conferences. Detailed information: https://www.kf.vu.lt/en/studies/studies-in-english/doctoral-studies/admission-for-phd Website for additional job
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28th April 2026 Languages English English English We are looking for a skilled PhD Candidate in Scalable Data-Driven Control for Energy-Flexibility Smart Buildings Apply for this job See