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living with DFD in cities get this care and this drops to <20% for those living in remote areas. This PhD project will be part of or augment a larger NHMRC Partnership Grant project ('The QFeet Study
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to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them for downstream tasks. In this project, you will develop novel unsupervised machine learning methods
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We are looking for a PhD student in Medical Science with an interest in molecular and structural virology. The position at the Department of Medical Biochemistry and Biophysics at Umeå University is
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& Presentation Skills, preparing research for high-impact journals and international conferences Along with transferable skills in project management, technical writing, teamwork and public engagement, graduates
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technologies used in and connected to grids (e.g., distributed generation, storage, electric vehicles, heat pumps, smart energy management systems, etc.) and how to design grid tariffs that align grid and market
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and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The candidate will have the opportunity to work on a collaborative project with a leading industry in
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population studies to investigate how biology, lifestyle, and environment affect health and disease development. An overarching goal is to develop better prevention and treatment strategies, by studying
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particularly aligned with HTC Health’s long-standing commitment to evidence-based nutritional solutions for human health and is informed by industry insights into weight management and consumer-driven demand
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- aware) curtailment tools and the national funded projects Smartlife and Supersized, leveraging model and data-driven digital twins for smart asset management and lifetime optimization of offshore
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and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children is also desirable. The project will be based at the Institute for the Science of