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supervised by Professor Morten M. Smedskjær. The group offers a vibrant research environment, featuring cutting-edge computational and experimental facilities and strong interdisciplinary collaboration
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under the supervision of Dr Mehrdad Vasheghani Farahani from Department of Chemical Engineering, with co-supervision by Professor Ian Kinloch from Department of Materials. The successful candidate will
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to pathogenicity in the gut, directly addressing mechanisms that underpin susceptibility to fungal infection. You will be based at the Quadram Institute Bioscience and supervised by Professor Alessia Buscaino
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the following qualifications: M.Sc. degree in either automatic control, mathematical engineering, mechanical engineering, mathematics, computer science or similar. Solid mathematical and analytical
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, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is for 3 years. The workplace is at the Department of Chemistry and Bioscience in Aalborg, where you will become part
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences within computational modeling of large-scale atmospheric processes in
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infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
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alters molecules and their properties, with focus on photoexcited states. The candidate will be member of the eT program developer team (www.etprogram.org) and developed models will be implemented
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inequities. The successful candidate will be guided by an expert supervisory team, including Dr Taya Collyer, an experienced biostatistician, and Professor Nadine Andrew, an internationally recognised