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Field
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(e.g., laser scanning, optical satellite imagery, radar, UAV, or aerial imaging). Strong programming and data analysis skills (e.g., Python and/or R), as well as proficiency in GIS software and
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and voids; maintain cleanroom/tool best practices. Characterize materials and interfaces using optical/profilometry, SEM/TEM, surface chemistry, and electrical IV; translate data into process
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techniques, including optical lithography and/or electron-beam lithography. Perform device processing using ICP-RIE and/or ion milling techniques. Analyse structural, electrical, and materials characterisation
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leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect
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– Modelling of atomic defects in h-BN: Two-dimensional (2D) materials have emerged as a powerful platform for next-generation quantum and nanoelectronic technologies, owing to their exceptional optical
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optics laboratories. 2. Characterisation of completed devices and the documentation of research output including analysis and interpretation of all data, maintaining records and databases, drafting
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eye and a depth of craft in brand and communications design to the project teams. Provide advice and guidance on the implementation of UI/UX research methodologies and instil inspiration
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phase equilibria. Experience with amphiphilic systems out of equilibrium, such as under shear flow, will be an advantage, as will be experience with other characterisation techniques such as optical
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development and application of data processing workflows, working closely with existing team members across optical, infrasound and RF sensing to contribute to a genuinely multi-modal picture of atmospheric
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, and advanced intracoronary imaging. The post has a strong emphasis on intravascular imaging, including Optical Coherence Tomography (OCT) and Intravascular Ultrasound (IVUS), encompassing image