33 algorithm-development "https:" "Simons Foundation" Postdoctoral positions at University of Maryland, Baltimore
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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imbalanced cross-sectional imaging data are especially well-suited for the position . The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center
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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as
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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining
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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as
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support the development of advanced diagnostic and therapeutic strategies in cardiovascular medicine. PRIMARY DUTIES • Design and conduct benchtop experiments to simulate physiological cardiac
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development and disease models. The focus is on the myosin phosphatase (MP), a critical target of signals that regulate blood flow. Experiments will test the hypothesis that editing of MP lowers blood pressure
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models to answer fundamental questions of carcinogenesis with the ultimate goal of informing novel therapeutic strategies and developing methods for early detection and cancer prevention. As part of
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the long-term goal of accelerating the development of novel vaccines and therapies. This includes work elucidating how sickle cell trait provides protection against malarial disease. We are particularly