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an opportunity for an outstanding bioinformatician to develop their career and skills within a combined team of clinicians and academics in a vibrant, translational research environment that works closely with
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/blanket concepts. A key challenge is the very narrow safe operating temperature window envisaged for RAFM steels, between 350 – 550 °C, in an irradiation environment of fusion reactors [1,2]. The lower
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the solution of governing PDEs. - Train machine learning models to predict lifetime and failure based on loading and environmental histories. The PhD student will have access to world-class computing facilities
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directly from the human ER. This involves using advanced copolymer technologies to preserve the native lipid protein environment around truncated AQP versions attached to the ribosome, providing snapshots
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Excellent oral and written communication skills in English Strong problem-solving abilities Interdisciplinary computer science interests Ability to work independently and in a collaborative environment
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, and a strong interest in applying advanced physical and computational methods to real-world challenges in energy and environmental technologies. The research will focus on the nano-architecture
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/environmental-health/areas/meteorology-climate ). The University of Birmingham is proud to be a member of the Met Office Academic Partnership (https://www.birmingham.ac.uk/research/moap/home-page ) and the
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e
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to identify the material degradation and coatings applications details in extreme environments. A novel techniques/method will be developed with focus on better prediction and more accurate measurement of
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industrial experience. In addition to the access to state-of-the-art facilities, the student also has the opportunity to develop interdisciplinary skills and to work in a team environment involving over 10 PhD