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Field
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: geochemistry (organic and inorganic), organic-mineral interfaces, forensics, polymers or corrosion studies. Strong track record of industry engagement and method development If you need additional information
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analysis. Interdisciplinary collaboration. Critical thinking. Qualifications and requirements The candidate should have a PhD in a topic relevant to regeneration and a track record of undertaking and
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reputation and track record of publications in reputed refereed journals and presenting at conferences. Evidence of successfully seeking, obtaining and managing external research funding. A growing record of
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to develop bioinformatic workflows for analysis of large genomic datasets. Demonstrated ability to synthesise and communicate results of evolutionary analyses, as evidenced through a track record of
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nanoparticles) and characterisation techniques (Microfluidic, DLS, preferably SAXS) Evidence of experience in organic synthesis of lipids, polymers, and/or in bioconjugation is strongly preferable Emerging track
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. Engineering experimental background/experience Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications
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in operation of dilution refrigerators and related infrastructure. A developing reputation and track record of publications in reputed refereed journals and presenting at conferences. Evidence of
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sciences, epidemiology, psychology, sociology). Evidence of a strong track record of research outputs in high-quality, peer-reviewed journals/outlets relevant to the discipline. Demonstrated impact and
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the discipline area. A developing reputation and track record of publications in reputed refereed journals and presenting at conferences. Evidence of successfully seeking, obtaining and managing external research
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mineral physics/petrophysics. Experience in mineral system science and/or geophysical modelling. A proven track record in research publication. Desirable: Experience with manipulation and analysis of large