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on the development of novel methods for the analysis and optimization of components and structures based on mathematical modelling and experimental investigations of phenomena that are highly interdisciplinary and
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or equivalent Skills/Qualifications 1. A PhD in science or engineering, preferably in physics, mathematics, or technical sciences in the field of electronics or computer science. 2. Experience in theoretical
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strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. The applicant should furthermore
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: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
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fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model organism will be Bacillus subtilis, but other bacteria as well as fungal species including
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Deadline: 7th January 2026 One fully funded, full-time PhD position to work with Dr. Viacheslav Borovitskiy in his new research group at the School of Informatics, University of Edinburgh. Our
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mathematical modelling. Good command of written and spoken English is a must (if preselected, a telephone interview will be carried out before any other appointment is made). Applications should be addressed
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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
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Husa, and faculty members David Keitel, Xisco Jiménez-Forteza, Antoni Ramos, Pep Covas and Jaume Carot, as well as several post-doctoral researchers and PhD students. For further details see http
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises