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computational mechanics or multiphysics modeling, with particular interest in fracture mechanics and chemo-mechanical degradation. Knowledge of solid-state defect chemistry (advantageous). You will join a dynamic
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
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of Vienna . The Alves research group (ISM and Star Formation) is looking for a highly motivated and talented predoctoral scientist. The university assistant pre doc position is nominally set for four (4
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& email address Professor Richard Barker: r.j.barker@leeds.ac.uk Project summary Silica scaling is commonly found on the surfaces of carbon steel pipelines in the geothermal energy industry. Currently
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, regulators, and firms to develop sensible policies and innovative well-being initiatives — which will close significant gaps in industry practices and help to create a more resilient workforce. Applicants
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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of the largest Statistics departments in the world, with a thriving PhD programme and a long-established reputation for research activity of the highest quality, enhancing both the PhD student experience and the
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computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles. The aim is to identify host-microbiome molecular signatures that drive
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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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temperature stability and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete