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phase-change heat transfer, micro/nano fabrication (photo or e-beam lithography), and optical imaging. The primary responsibility is to study liquid film dynamics during phase-change processes such as
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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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sensor processes Work together with world class experts on the fields of CMOS image sensors and radiation tolerant CMOS circuits We offer you a temporary assignment of 1 year with the possibility
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single-cell sequencing, genetic perturbation, and advanced spatial methods (including smFISH, light-sheet imaging, and whole-brain clearing). This project builds on our expertise in gene regulatory
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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develop new directions in this area. Duties will include analyzing optical/infrared/ultraviolet data (e.g., imaging/spectroscopy/integral field spectroscopy from James Webb Space Telescope, Hubble Space
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following areas: Microbiology ? microbial ecology, bacterial genetics, or host-microbe interactions. Microscopy ? advanced imaging techniques, image analysis, or spatial biology. Computer Science ? especially
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at MUN features state-of-the-art medical laboratories equipped with high-resolution confocal imaging, a Seahorse analyzer for metabolic profiling, flow sorters and cytometers, an electron microscopy suite