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carcinoma xenografts in immunocompromised mice. They will treat mice with appropriate chemotherapy regimens and image them using different imaging platforms. Primary human organoids will be established and
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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time. They can be divided into three primary categories. First, using microscopy to image different parts of the plant depending on growing conditions. Second, harvesting tissue samples from the plants
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of neuromorphic systems for different types of onboard sensing and processing tasks in the space environment. Your research will be guided by your own expert judgement and insight into current trends in AI hardware
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brainstem neurons as required. Engage in immunohistochemical staining, fluorescence microscopy, and other standard wet laboratory procedures, including solution preparation, different imaging approaches, and
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four telescopes: a 1-m with a high-res fibre-fed echelle spectrograph, 1.8-m with 2.2 sq. deg. imager & two 0.6-m. The School of Physical and Chemical Sciences offers a spectrum of majors including
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and