10 postdoc-image-encryption Fellowship positions at The University of Queensland in Australia
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of a PhD in experimental solid-state quantum computing. Postdoc (research scientist) experience is desirable. A growing profile in research in research in the area related to circuit QED and/or
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histomorphological techniques is desirable. Experience using image analysis software, such as FIJI/ImageJ is desirable. The successful candidate may be required to complete a number of pre-employment checks, including
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expertise in digital imaging technologies and data-driven research solutions. Apply for and manage competitive research funding, including joint projects with colleagues. Supervise and mentor Honours and
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achieve recognition and impact in the research area. Designs PCBs and develops FPGA code as a core aspect of the design process. Develop image signal processing systems and sensor motion control
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Bioinformatics. The role focuses on exploring brain development and function from developmental and comparative perspectives, integrating molecular biology, advanced imaging, and genomics/transcriptomics
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lining the gut and lungs works to sense and trigger immune cells to drive effector and repair functions. Characterisation experiments will include ELISA, PCR, multicolour flow cytometry, imaging, cutting
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microscopy, AFM, SEM, TEM, Raman imaging, NMR analysis. Some experience in meaningful internal service roles and contributions towards external activities. The successful candidate may be required to complete
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skills relevant to polymer science/engineering, such as GPC, DSC, micro-CT, SEM, TEM, Raman imaging, NMR analysis. Some experience in meaningful internal service roles and contributions towards external
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chemistry, hydrogels and surface enhanced Raman spectroscopy. Highly developed skills in chemical and physical characterisation techniques including data analysis related to spectroscopy, imaging techniques
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films in organic light-emitting diodes (OLEDs) using X-ray techniques (including diffraction, scattering, spectroscopy and imaging) and electron microscopy. The OLEDs will feature emissive layers with