85 parallel-processing-bioinformatics Postdoctoral positions at University of Minnesota
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to identify pathways within complex metabolic networks that can be used for early identification of disease or targeted to prevent or treat metabolic diseases. To accomplish this aim, studies combine the use
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computer science, or a field related to computational sciences. Must have a strong background in computer vision, artificial intelligence (AI), and/or wireless networking and systems, and related fields. Preferred
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associated with the Center on Geo-processes in Mineral Carbon Storage (GMCS), funded through the Energy Frontier Research Centers by the Office of Basic Energy Sciences, US Department of Energy. The main
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an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity The University recognizes and values the importance of diversity and inclusion in enriching
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of research interests (one to two pages), and Reference list with contact information This position will remain open until filled. To request an accommodation during the application process, please e-mail
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information This position will remain open until filled. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity The University recognizes and
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application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail
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, such as hyperthermia-based or temperature-controlled therapeutic systems. -Documented experience in small animal surgery and translational research, including tissue handling, microsurgery, and in vivo
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investigating auditory processing, hearing impairment, and neural stimulation approaches. This research spans both animal and human studies, with a focus on neural coding, plasticity, and perception in response
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human vagus nerve stimulation and functional effects across the body. Experience in processing and modeling imaging data with predictive models. Experience in grant writing and working with large grant