11 computer-science-image-processing Postdoctoral positions at University of Minnesota
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Findings • Collaborate Across Disciplines: Work with computational biologists, iPSC researchers, and clinical colleagues on collaborative projects involving omics, imaging, and biomarker development. • Other
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-disciplinary research team, consisting of researchers in coil development, electromagnetic simulation, parallel transmit RF pulse design, pulse sequence development, advanced MR image processing, analysis and
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, mammalian cell culture, confocal imaging, bioinformatics and rodent experimentation.Good verbal and written communication skills, the ability to work independently, and an interest in mentoring young
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of Minnesota is seeking applicants for a 12-month, 100%-time postdoctoral associate. This position is ideal for applicants who have MRI processing and data analysis experience and are interested in studying
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model development. -Proficiency in molecular and cellular biology techniques (e.g., DNA/RNA extraction, flow cytometry, histology, fluorescence imaging). -Proven record of first-author publications in
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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
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professional domains and a desire to ask big-picture questions. Preferred Qualifications: Familiarity with natural language processing (NLP) or network science. Experience with machine learning libraries like
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and aging Skills in immunofluorescence, microscopy, image processing, and large-scale -omics data analyses Mentoring junior trainees About the Department The Department of Family Medicine and Community
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Qualifications PhD in cell biology and biophysics. Training and/or experience in handling of purified proteins, computational analysis and modeling in MATLAB, stem cell differentiation and tissue culture, confocal
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, soil science, computational biology or related fields with demonstrated expertise in field and lab research. A successful track record as an emerging research scientist including demonstrated