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maintenance of equipment and coordination of research supplies Qualifications Required: Ph.D. in biomedical, electrical, computing, or mechanical engineering, neuroscience, computational biology, or a closely
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The School of Mathematics, located in the heart of the University of Minnesota's College of Science and Engineering, features over sixty faculty and more than 120 graduate students engaged in world-class
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participating in the joint weekly colloquium series with the History of Science, Technology, and Medicine Program, as well as special events (e.g., academic workshops). Additionally, in consultation 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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-18 months on your published or ongoing research Qualifications Required Qualifications: A Doctorate Degree in a relevant scientific field (neuroscience, molecular biology, biomedical engineering, or
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the neurorehabilitation industry to understand current standards of practices. Qualifications Required Qualifications: ● PhD degree in Mechanical Engineering, Biomedical Engineering or related fields. ● Competence in
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Qualifications Doctoral degree in cell biology or molecular biology with extensive experience in cloning, protein purification, enzymatic assays and genetic engineering, with demonstrated knowledge on signal
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Qualifications Required qualifications: • Ph.D. or equivalent degree in Cell Biology, Molecular Biology, Biomedical Engineering, Genetics, Genomics or a related field • At least one first author publication
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and various watershed management districts across the metro) to achieve project research and technology transfer objectives. We seek an energetic scientist committed to conducting research to understand
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biology, and tissue engineering to join our team. In this role, you will have the opportunity to contribute to broad research projects focused on cardiovascular disease modeling and cardiac regeneration