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including vision transformers, for computer vision tasks. Previous experience in image analysis/processing. Bachelor’s and/or MSc degree in machine learning, computer science, electrical and computer
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. You will work along the way on developing original imaging protocols and quantitative data processing methodologies exploiting the coherence properties of EBS source with intense narrow-bandwidth single
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Positions: We have an opening for a PhD position in the areas of machine learning and computer vision. The position is supported financially by a SNSF project, whose aim is to build controllable
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of plankton and metazoan communities will be assessed by in situ imaging technologies (Imaging FlowCytobot) and high-throughput sequencing of samples from research cruises and field campaigns (plankton and
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(early land vertebrates) from Greenland. The material will principally be studied using synchrotron microtomography (a kind of high-resolution 3D x-ray imaging). The PhD student will study these
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-5 pages.” Preferred qualifications Proven experience working within technical disciplines such as signal processing, sensor fusion, instrumentation, control-oriented modeling, and advanced control
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Sciences Research Center, Maternal Fetal Tissue Bank, Iowa Biomedical Imaging Institute and Ophthalmology and Visual Sciences. Excellent clinical research and core labs in the Carver College of Medicine
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, natural language processing, and deep learning, will explore how fine-grained supervision signals and a new construction paradigm can improve the faithfulness and interpretability of dense and learned
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basic lab procedures and techniques, such as rearing, animal care, microscopy, respirometry, and using various computer applications. Minimum Qualifications High school graduation, some additional
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quantum sensing to provide fundamental understanding of bio-physical processes. Towards this goal, the projects will apply state-of-the-art quantum sensors based on nitrogen-vacancy colour centers in