587 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 8 days ago
diseases, conditions, or injury. The project will utilize a variety of approaches including large scale cell manufacturing, extracellular vesicle manufacturing and characterization, biomaterials, high
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Querfeld, M.D., Ph.D., director of the Cutaneous Lymphoma program, seeks better treatment options for cutaneous T cell lymphoma (CTCL), a rare form of lymphoma that first appears on the skin but can also
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Research Environment This role provides access to large, deeply characterized longitudinal cohorts, curated biospecimen repositories, and advanced genomic and computational infrastructure to support high
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successful applied researcher in an area that is of high medical relevance. In addition, you will learn how CBER fulfills its mission of improving global public health. Mentor: The mentor for this opportunity
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Performance Computing environment, and utilization of bioinformatics pipelines. Translational Research: You will learn how to translate fundamental research findings into practical solutions for U.S
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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, curated biospecimen repositories, and advanced genomic and computational infrastructure to support high-impact, data-driven research. Application Interested applicants should submit: Curriculum vitae A
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highly qualified, self-motivated post- doctoral fellow to join our research program in computer-aided diagnosis and AI (CAD-AI). Responsibilities* The research will involve development of decision support
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI