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computer operations of the Windows operating system, one or more major double-entry accounting software programs, and Microsoft Office Suite including Excel. Ability to read, analyze, and interpret a variety
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of instrumentation scientists , applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product
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open-source tools with high performance computing for developing a prototype acquisition and reconstruction package. The Research Professional will also be involved with and test any combination
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of Conception and Drawing of Mechanical Components and Systems, Product Development, Computer-Aided Drawing and Manufacturing, Computer Graphics, Image Processing and Analysis and Scientific Visualization. Work
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biology. The Department of Immunobiology is home to a diverse group of scientists, educators, and trainees dedicated to understanding how immune and microbial processes influence health and disease. Faculty
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communication, organization, and interpersonal skills Attention to detail and accuracy Knowledge of digital image technology, photographic processes and ability to evaluate analog and digital image quality
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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, Telecommunications, Artificial Intelligence or Computer Engineering; Mathematics; or a related field. Training or experience in data science, deep learning, and artificial intelligence. Knowledge of Python, PyTorch