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at the Nottingham Breast Institute. This project is based on a long-term research collaboration between the Biophotonics Group (School of Physics and Astronomy, University of Nottingham), Breast Institute (Nottingham
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publication and contribution to conferences in the field of cognitive neuroscience, physical activity, data science, engineering, brain imaging or related fields. Expertise in analysing MRI and fMRI Brain
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hydrodynamic modelling and sediment transportation. ii. Model Validation: Validation of DHI Mike Model with past historical data iii. Data Analysis: Process and analyze coastal and ocean wave data to improve
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to contribute to an exciting European project developing hydrothermal processes for the management of solid digestate and other waste from the olive oil production process. About the Role We are seeking a
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at the bottom of this page. If you have any queries regarding the vacancy, or the application process, please contact bseer-. If you have specific questions about the role please contact Malte Jansen, UCL
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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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properties. Gen2Carbon can then process these carbon fibres into materials that can be used in both PEM water electrolysers and fuel cells, driving our clean energy revolution About Knowledge Transfer
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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you click the “Apply” button, above. This document will provide information on what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being