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Time Projection Chambers used in the Deep Underground Neutrino Experiment. This work involves parsing simulated data to extract and analyze the information necessary to reconstruct the energy of
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to the University of Minnesota Teacher Preparation Unit as it prepares for its upcoming accreditation site visit. Leveraging deep institutional knowledge and extensive experience in accreditation processes
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, electroencephalography, and recording from deep brain stimulators. There will be also be opportunities to learn and participate in a variety of data collection systems and analyses from our collaborative projects. 75
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candidate will bring deep expertise in participatory engagement, strong cross-sector collaboration skills, and a passion for centering community voices in public health research and practice. Major Duties and
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or decorations as needed for events or programs. 35% – Floor & Surface Maintenance Vacuum carpets and perform deep cleaning using extraction and shampoo machines. Scrub floors with industrial scrubbers and apply
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Previous Job Job Title Research Professional 1 – Clinical Deep Brain Stimulation (.75) Next Job Apply for Job Job ID 369866 Location Twin Cities Job Family Research Full/Part Time Part-Time Regular
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. Experience in deep learning and image analysis is strongly preferred. Qualifications Required Qualifications: PhD in biotechnology, biomedical engineering, or related area, with one or more years of
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experience in MRI reconstruction and analysis • Willingness to expand knowledge of deep learning methods and optimization • Experience with Matlab or Python • Strong verbal and written communication • Ability
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ecology, imaging spectroscopy, remote sensing, and machine and deep learning approaches to work in the detection of invasive diseases using spaceborne observations. We are interested in recruiting
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France, India, Japan, Mexico, the U.K. and the U.S. Body Confident Sport provides coaches with the materials they need to increase girls’ body confidence, body image and self-esteem through sport. To learn