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/3D printing, wearable systems, experimental testing and repeatability, signal processing/data analysis, or working in regulated/clinical research environments. Proposed start date: 01 October 2026 How
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-resolution, high-speed, and deep 3D quantitative imaging. In collaboration with the Department of Clinical Medicine (UiT), the system will be evaluated for dynamic imaging of cardiac activity in engineered
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cells Analyze RNA sequencing-based transcriptomic data sets Perform immune-staining with flow cytometry analysis, advanced microscopy techniques (light-sheet microscopy, confocal fluorescence microscopy
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. The position will also focus on developing 3D imaging technology for nerve and synapse detection in tissue samples from tumors. The candidate will study the presence of synapses between breast cancer cells and
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an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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sizing. Familiarity with practical finite element analysis using ANSYS Workbench or Comsol, and pipe stress analysis programs such as CAESAR-II, CAEPIPE, AUTOPIPE, WINPIPE, ROHR2. Experience creating and
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complexity of in vivo patient tumors. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript
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of biomolecules in humans Gain experience in fabricating various types of sensors and biosensors Utilize 3D design and fabrication to create prototypes and test apparatuses Participate in the evaluation of quality
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. This project will use state-of-the-art live-cell super resolution microscopy and automated image analysis to both visualise the 3D architecture of keratin networks in epithelial monolayers. You will explore how