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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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Marie Skłodowska-Curie (MSCA) COFUND scheme. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging techniques and data analysis
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calculations. In this collaboration, the experimental work will be carried out at the University of Salford, whereas the mathematical analysis and numerical modelling will be done at Nottingham. The work will be
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translocation malfunction is involved in numerous diseases including cancer. The research is strongly coupled to collaborations with excellent experimental teams and will be more closely discussed during
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performance, safety, and scalability. The project may involve both experimental investigations and numerical simulations, depending on the candidate’s background and the evolving needs of the research
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced
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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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, running, and analysing numerical simulations of strongly magnetised plasma turbulence with a helicity barrier, as well as the development of theories and phenomenologies that provide frameworks
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instruments, ideally including associated clean laboratory sample preparation. Experience in applying geochemical tools to constraining past environmental, oceanographic, or climatic change. Numeric skills