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your current expertise. A critical, curious, innovative and analytical mind. Ability to work responsibly, reliably, diligently and independently perform experiments and contribute to teaching. Ability
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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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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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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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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
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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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fields. The researcher will join a multi-disciplinary team led by Professor Vili Lehdonvirta, consisting of both computer and social scientists. Principal investigator and community The project’s principal
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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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. Excellence in written and oral communication, analytical, planning, and time management skills. Desirable A track record of successfully managing multidisciplinary teams in the context of multi-partner
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competence is expected in the use of analytical methods including proton NMR spectroscopy and mass spectrometry for reaction monitoring. Ideally candidates will also be experienced in synthetic organic