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the laboratory of Dr. Sergey Korolev at the Edward A. Doisy Department of Biochemistry and Molecular Biology at Saint Louis University School of Medicine to study structural basis and molecular mechanisms of DNA
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the laboratory of Dr. Sergey Korolev at the Edward A. Doisy Department of Biochemistry and Molecular Biology at Saint Louis University School of Medicine to study structural basis and molecular mechanisms of DNA
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Details Posted: 19-Feb-24 Location: St. Louis, Missouri Salary: Open Categories: Academic/Faculty Internal Number: 2023-06523 The Laryngeal Biology Laboratory at Saint Louis University, directed by
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University to study the connections between lipid load, mitochondrial biology, and cardiac arrhythmias in animal models of cardiomyopathy and heart failure. The position entails working with C. elegans, in
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. The lab interfaces with many of the basic science labs and clinical programs at Saint Louis University to provide a rich experience in the context of translational pain research. The laboratory integrates
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that performs cutting edge pain research. The lab interfaces with many of the basic science labs and clinical programs at Saint Louis University to provide a rich experience in the context of translational pain
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to address key questions in chronic pain. Perform experiments and analyze data, employing techniques including animal handling, breeding, tissue collection, imaging, molecular biology assays, and
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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proposal writing and securing research funding. Qualifications: Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, machine learning, or artificial