36 industrial-engineering-phd Fellowship research jobs at Medical College of Wisconsin
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, including engineered mouse models and human-induced pluripotent stem cells, to understand the cellular mechanisms that govern the proliferation and differentiation of heart muscle cells. We also utilize a
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PhD or postdoctoral research. Applicant should also be proficient in basic molecular biology research methods and experienced in cell culture. This fellow would lead NIH-funded studies focused
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: Minimum Qualifications Minimum education: PhD in a scientific field or MD Minimum experience: None Eastern Wisconsin is a vibrant, diverse metropolitan area. MCW is intent on attracting, developing, and
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proteins, their interactions with cell surface receptors, and novel approaches to modify their functions in vivo with small molecule or engineered protein ligands. Actively funded projects with multiple
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: Minimum Qualifications Minimum education: PhD in a scientific field or MD Minimum experience: None Eastern Wisconsin is a vibrant, diverse metropolitan area. MCW is intent on attracting, developing, and
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: PhD or equivalent Minimum Required Experience: No experience required Preferred Education: PhD or equivalent prior to starting the position in public health
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Schedule: M-F 8-5 Position Requirements: Appropriate experience may be substituted for education on an equivalent basis Minimum Required Education: PhD in a scientific field or MD Minimum Required Experience
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, PhD or other terminal medical degree Minimum Required Experience: Preferred Experience: Basic/Advanced biostatics skills; human subject research Field: #LI-AC1 MCW as an Equal Opportunity Employer and
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things that can be learned or trained for. Organizational Structure Building: HRC Department: Medicine Division: Cardiology Reports to: Andreas Beyer, PhD Specifications Appropriate experience may be
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have a research backgrounds in any combination of the following: cardiac physiology, animal modeling, stem cell engineering, molecular biology techniques (e.g. qPCR and Western blotting), transcriptomics