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Field
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in USN’s PhD-program in Ecology within three months of accession in the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof
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internal organs. City of Hope is one of the few institutions in the country that offers clinical trials to treat cutaneous lymphomas. Dr. Querfeld leads a multidisciplinary team of experts, including medical
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on the skills and experience of the candidate. We are interested in applicants with a PhD, with a strong research track record relative to opportunity, and with disciplinary expertise in public health
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" . The research will further span cutting-edge imaging technologies, single-cell sequencing, metabolomics, proteomics and experimental models ranging from human neurons to mouse and non-human primates. You will be
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at University Park Campus and you will have a unique opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role
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the academic promotions process. About You Completed PhD (or equivalent experience) in Mechanical Engineering, with an established profile and over 10 years of professional experience in mechanical or opto
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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purification of secreted proteins; maintenance of mammalian cell cultures; animal handling; and basic immunostaining and image analysis. The employee will also be needed in analyzing data, interpreting
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Graphics, Augmented Reality and/or Image Processing is not mandatory but will be valued; Knowledge of CUDA, Holoscan, and other NVIDIA environments is not mandatory but will be valued; academic excellence
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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is