36 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Wayne State University in United-States
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are formed in bone-conduction. We perform intracochlear measurements of sound pressures and vibrations in human cadaveric ears. We develop circuit network models and finite element models to assist data
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Summary A postdoctoral position is available in the area of synthetic organic/ medicinal chemistry in a highly active CNS specific drug discovery research group directed by Aloke K. Dutta, Ph.D
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models and CRISPR technology, to address the important questions. This is an excellent opportunity to work on innovative and impactful research projects in a highly collaborative environment. We
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and biochemistry, including cell culture as well animal models, are used to address research goals. Required qualifications Ph.D. in biochemistry, cell biology, or molecular biology. The fellow should
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Summary We study cell division mechanisms using C. elegans as a model organism. Our main R01 funded project seeks to characterize novel functions of separase during cytokinesis. We use multiple
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medicinal chemistry to available cellular and animal models of PDand is geared towards achieving groundbreaking steps in the field. Among the research approaches to be investigated are gene therapy, exosome
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collaborative environment. Microsoft office software skills. Preferred qualifications: This position will require a full-time 2-year commitment. Doctorate degree in rehabilitation science, neuroscience
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collaborative environment. Microsoft office software skills. Preferred qualifications: Master’s preparation in Statistics with statistical consulting or another related field with strong analytical skills
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will address this need by devising multiple innovative strategies to engineer recombinant immunoglobulins with enhanced therapeutic properties to reduce the required dosage and circumvent the need for a
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Summary A postdoctoral fellow position is available in the laboratory of Anna Moszczynska, Ph.D., to study cellular and molecular mechanisms underlying the anti-addictive properties of protein