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Field
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Lipid Nanoparticle Delivery, Advanced Imaging and Membrane
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sensing technology. You will refine and optimise a bespoke characterisation system, fabricate optical fibre sensors and evaluate their performance. You will also apply digital signal processing techniques
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this project is to perform advance image analysis on correlative datasets to extract the underlying knowledge. The technical aspect of this project aims to integrate two cutting-edge microscopy platforms
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video
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characterization. Proven experience in development, operation and optimization of THz sources and detection. Experience in THz Imaging. Proficiency in Python programming to develop codes for post-data processing
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a Horizon Europe Pathfinder science-to-technology breakthrough, targeting a paradigm shift in fabricating a novel optically active crystal – rare-earth (RE) doped sapphire (REDS). The EIC-funded
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instrumentation, including the development, alignment, operation and/or application of optical microscopy systems, Strong background in image analysis or similar scientific data analysis using Python or MATLAB
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liaise with Siemens Healthcare Limited partner personnel, as well as a multidisciplinary team of imaging scientists, engineers, MRI technologists, physicians, undergraduate and graduate trainees, and
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to work on the design, manufacturing, team building, and industrial promotion of an electrical