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Field
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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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/molecular approaches, in vivo imaging, behavior, histology, and EEG. The desire to learn new techniques and work as part of a collaborative team is strongly encouraged. Training in new techniques would be
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(or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2
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interdisciplinary teams (engineering, medicine, human factors, computer science) to prototype and evaluate medical support solutions for operational scenarios (e.g., spaceflight missions, remote medicine). Conduct
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acquisition on fresh and fixed samples. Work closely with pathologists, surgeons, and computational scientists to validate imaging technologies for diagnostic and research use. Analyze imaging data and
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experiments using magnetogenetics to selectively control neurons and astrocytes in Alzheimer’s disease models, in vitro and in vivo . Perform in vivo two-photon imaging, electrophysiology, and behavioral tests
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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have a PhD in neuroscience or an equivalent field (Physics and Engineering degree holders are highly encouraged. The ideal candidate has some experience with the recording, imaging and/or analysis
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, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
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, enthusiastic, and collaborative candidates. We employ both basic sciences and engineering approaches to modulate inflammatory responses after neural trauma. Currently NIH-funded projects for postdoctoral