43 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Fellowship positions at University of Birmingham
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methane exchange in upland trees drawing on information derived from parallel field studies spanning a rainfall gradient in Ghana (and elsewhere) and modify empirical models of tree methane exchange
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consent processes in accordance with Good Clinical Practice Supervise students and provide mentorship on research-related work Contribute to developing new models, clinical pathways, or care interventions
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of tumour removed by surgery. It can take up to four weeks to get a final diagnosis, making it hard for doctors to make treatment decisions and causing uncertainty and anxiety for patients and families. We
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materials, in particular using low solvent or solvent free processing. This work will include detailed characterisation of these materials to understand the degradation characteristics of these materials
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project will focus on scaling-up the technology and transferring existing knowledge of this process from the University of Birmingham to Salinity Solutions, where it can be commercialised and accelerate
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(microscopic or mechanical). The successful candidate will carry out research and manufacturing process evaluation to produce structural metallic materials. The applicant will work on a research project
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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samples. The Research Fellow will under the supervision of Prof. Christopher Quince be responsible for organising, processing, interpreting the data generated in the theme. They will then use
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous