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to ensure proper exam for each patient. Prescribe proper scanning parameters for the most common MRI exams with the assistance of documented or computer prescribed protocols. Determines optimal imaging
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”. The project is for 3 years, and it is in collaboration with the Assoc. Prof. Katherina Petrou from the University of Technology Sydney, Australia. The successful candidate will work with the
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innovation, including advanced MSK imaging and image-guided interventions, supported by state-of-the-art technology and strong institutional investment. Collaborate with internationally recognized basic
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of nanomechanical resonators using COMSOL and MEEP Development and operation of laser-interferometric setups under ultra-high vacuum (UHV) and cryogenic conditions for the characterization of nanomechanical
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Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience. Software R&D activities, including software development and implementation, prototype
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to two years. About this opportunity: We are a diverse, driven group developing cutting-edge genomic technologies to quantify the effects of genetic variation at scale, engineer genomes and understand
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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will not be provided for this position. About the Opportunity The Cornell Lab of Ornithology is a globally recognized leader in conservation science and public engagement. Through innovative technology
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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Manager (PUM) images. Support the Human Resources, Dean of the Faculty and Finance and Treasurer offices. Leadership: Research new functionality and technologies that can enhance customer business processes