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Field
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relevant research experience. You should have strong practical experience in fieldwork, mapping, and sample collection, alongside expertise in chemical and petrological analysis techniques such as XRF, SEM
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operating and interpreting data from analytical and characterization equipment, including: Universal Mechanical Testing Machine Scanning Electron Microscope (SEM) DTG thermal analyzer FT‑IR spectroscopy
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characterization tools (e.g., SEM, AFM, TEM, thermal analysis). Maintain rigorous experimental records and contribute high-quality datasets for internal collaboration. Communicate research results through peer
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using microscopy and materials characterization tools (e.g., SEM, AFM, TEM, thermal analysis). Maintain rigorous experimental records and contribute high-quality datasets for internal collaboration
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fabrication by sputtering (e.g., magnetron sputtering; thin-film deposition workflows). • Materials characterization methods (morphology, structure, composition), e.g., SEM/EDS, XRD, profilometry, IBA, etc
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of Engineering and Materials Science (SEMS) is a large, research-intensive School within the Faculty of Science and Engineering, comprising over 100 academic staff, approximately 1,700 undergraduate and taught
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conversion and the role of materials in enhancing reaction efficiency. Analyze products and materials using advanced characterization techniques (e.g., HPLC, GC-MS, SEM, TEM, BET …). Write scientific reports
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well as their targeted development into cells with gas diffusion electrodes for the reversible adsorption of carbon dioxide. You will characterize functional porous carbons using techniques such as XRD, SEM, Raman
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monitoring relevant parameters, as well as undertaking experiments with e-waste decay; study foraminifer tests with microscopy (e.g. SEM, LM); collaborate with partners in the USA and within the LRA-AMS
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autonomy in material characterization techniques (e.g., SEM, EDS, XRD, XPS), Timely and high-quality contributions to project deliverables, reports, and milestones Team-oriented attitude, continuous learning