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working culture. Person Specification First degree and a PhD relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly
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metabolism and human physiology. Experience with clinical research and/or experimental medicine studies necessary. Analytical Skills: Proficiency in data analysis and statistical software. Experience with high
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-ray crystallography, X-ray photoelectron spectroscopy and other analytical tools. Undertake electrochemical characterisation of the prepared catalysts. You will be trained on all required synthesis
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the lab existing genome sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley
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impact. Academic Leadership The Fellow will work under the supervision of internationally recognised experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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researchers, and industry partners to gather data and align simulations with practical needs. The postdoctoral researcher will be helping the PI and experts in managing projects, supervising students, funding
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. • To develop and improve theoretical models of fluid dynamics, solid mechanics, soft matter or active matter. • To carry out analytical calculations in the context of theoretical models of fluid
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of processes through real-time data acquisition and analytics; component fabrication (additive manufacturing); characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy, nanoindentation, AFM, etc.); and