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leverages unique and transferable features of immersive technologies to transform the presentation of time series plots, image layers, and tabular data, thereby improving in situ data collection. Evaluate
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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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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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-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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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
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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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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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give rise to brain functions and behavior. The Laboratory of Neurotechnology and Biophysics (LNB) has a significant focus on developing and applying advanced optical imaging technologies with
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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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cementitious materials using different techniques. Multi-scale characterization of the materials using e.g., SEM, RAMAN imaging, TEM, XRD, rheology, and multiscale mechanical testing. Lab-source and synchrotron