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best practices, including user roles, permissions, and encryption Attention to detail and strong problem-solving skills Ability to work independently and as a part of a team Ability to document database
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for the efficient production of high-quality digital images of museum collection objects. The photographer also completes all image post-production, manages image meta data, and uploads images to the collections
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. Ensure all research software and equipment funds are spent according to university policy. Maintain adherence to computer security/encryption policies of HST and University. Initiate computer purchases
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teams of engineers and students. Responsibilities: • Development of pTx optimization strategies for head and body imaging applications on human ultrahigh field MRI systems • Design strategies and
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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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, foundation models, image / signal processing, optimization, and control. Optics and Photonics: Expertise in the fields of optics, photonics, nanophotonics, quantum optics, optical materials, devices
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technical procedures (e.g., visual acuity, tonometry, perimetry, imaging) as required by the study protocol, minimizing the need for outside clinical staff support. Create source documents for accurate data
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indicators (GEVIs) for single-neuron, single-spike resolution recordings in behaving animals. The incoming candidate in the Kannan lab will apply advanced optical tools and multipopulation voltage imaging
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will also have experience dissecting signaling pathways of cell growth, differentiation, senescence and/or death. Skilled in molecular biology, mammalian cell culture, confocal imaging, bioinformatics