32 reliability-risk-engineering Postdoctoral research jobs at University of Minnesota
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within the University of Minnesota within Departments of Psychiatry, Neuroscience and Biomedical Engineering. This is in a joint collaborative partnership on neuroimaging informed neuromodulation in human
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(subfield: experimental condensed matter physics) or closely related field, such as Electrical Engineering. Preferred Requirements: Applicants whose PhD work included substantial experimental work with a
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collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is
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: PhD in hearing science, psychology, linguistics, physiology, cognition, or engineering, or a related field. Experience conducting research with human participants. Experience in creating and analyzing
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assigned Qualifications Required Qualifications: Ph.D. in biomedical fields or related area including stem cell biology, molecular biology, genomics, biomedical engineering, biochemistry Experience
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, cell and in vivo approaches including genetic engineering and gene editing. Qualifications Required Qualifications: Required Qualifications: Ph.D. in biochemistry, genetics, molecular biology, physiology
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) YesNo President, Office Of The (1) YesNo Public Health, School Of (12) YesNo Public Safety (3) YesNo Research & Innovation Office (17) YesNo Science & Engineering, Col Of (93) YesNo Student Affairs,Vice
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Qualifications • Ph.D. in Neuroscience, Biomedical Engineering, or a related field • Strong publication record • Interest in understanding perception and decision-making in real-world contexts • Excellent written
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sequencing technologies to investigate somatic mutations and epimutations, exploring their roles in aging and age-related diseases. · Multi-omics Technology Development: Developing and implementing innovative
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an independent research project and lead a team of undergraduate/postgraduate researchers. Candidates should be able to manipulate and engineer yeast, using classical yeast genetics and modern CRISPR-cas9