26 high-performance-computing Postdoctoral positions at University of Maryland, Baltimore
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. Studies will involve the use of advanced technologies and instrumentation such as high-parameter flow cytometry and mass cytometry (50+ parameters/cell) with a focus on complex data analyses, as
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small molecules that enhance cardiac performance in human IPSC-derived cardiomyocytes (iPSC-CMs). The first goal is to examine the mechanism of action of these small molecules by identifying
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-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS
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are currently recruiting motivated Postdoctoral Fellows with a Ph.D., M.D. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who
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, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI
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molecular biology, cell culture, morphological and functional 2P imaging and high-field MRI in live animals to study donor-host interactions and seek measures to improve the survival, migration and
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or infectious disease, a strong publication track record, be highly motivated, have outstanding organizational skills and great attention to detail, high scientific integrity and rigor, excellent written and oral
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vaccines, as well as volunteers challenged with wild-type organisms. Studies will involve the use of advanced technologies and instrumentation such as high-parameter flow cytometry and mass cytometry (50
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experience, the applicant can expect to receive career mentoring from faculty of various backgrounds (clinical and fundamental science) in developing a research program, writing research proposals, and to
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techniques of cell and molecular biology. Depending on background and interest, the post-doc will perform experiments involving drug target identification, proteomics, biochemistry, computational biology