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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
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Title’ using the programme code:8080F Research area: Statistics select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further
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applications. The program emphasises interdisciplinary collaboration across orthopaedics, otology, and odontology, integrating basic research with preclinical and clinical studies. In partnership with 27
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to maximize this impact throughout the PhD programme. Given a focus on body weight and strategies to reduce this, with consideration for sustainability and current consumer preferences for naturalness
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flooding events and recreation in freshwater. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security
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health genomics, combining academic research with front-line public health intervention experience. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health
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, adapting existing and developing new research methodologies, as well as contributing to ideas for new research projects. You will hold (or be close to completion of) a PhD/DPhil in a Social Science