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fluorescence Advanced fluorescence imaging techniques Biochemical and molecular biological assays Knowledge of computers and computer software related to the position Knowledge, Skills, and Abilities Excellent
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We currently have an opening for a
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imaging systems, communication systems, mining operations, and infrastructure inspections. Key responsibilities will include: Research: Develop processing methods for electromagnetic medical imaging using
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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qualifications include: Experience with radio interferometric observing, data processing, and imaging. Experience with modern machine learning / deep learning techniques and software packages. Experience with time
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with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We currently have an opening for a
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; experience of working on biological systems and/or craniofacial system; experience in image processing and material characterisation. The post is initially funded for 3 years and will be subject to standard
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fluorescence Advanced fluorescence imaging techniques Biochemical and molecular biological assays Knowledge of computers and computer software related to the position Knowledge, Skills, and Abilities Excellent
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid