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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health
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University. The ideal candidate will collaborate closely with both clinicians and computational researchers to develop and apply novel methods for understanding the biology of brain disorders and/or
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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: The Computational Geometry Lab researches the design and science of shape, aided by computational tools and design intuition. The Lab combines computational, formal, architectural, and historical research into a
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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Hellren Hansen, Ingun A.Mæhlum Qualifications This position requires: A master’s degree or equivalent in a relevant discipline (e.g. physics, geosciences, computer science, mathematics/statistics, geodesy
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development, data analysis and inference, and image analysis ▪ Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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an opening and be able to support the candidate at the standard starting salary for postdoctoral research associates for three years. The Fellowship program provides the additional funds to increase
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range of methodologies including developmental and cell biology, cancer biology, next generation sequencing and computational modelling. The Hill lab encourages creative and independent thinking and