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The overall mission of our administrative core is to integrate the research program components and to support our training mission. The core will provide seamless oversight, coordination and leadership to the scientific, administrative and information technology (IT) infrastructure. Core personnel will oversee and implement the administrative and fiscal aspects of this project program grant application. Further, the core will supply data management and computing services, including web-based services, hardware solutions and advice on big data analyses, for the whole program. Through the core, we will also provide training in scientific writing through manuscript editing. In addition to serving as the overall principal investigator, Dr. Nahrendorf will direct project 2 and the administrative core. He is responsible for administrative oversight of all research. Dr. Nahrendorf will work closely with his associates to ensure regularly scheduled meetings among investigators, proper administration of all project and core budgets and timely completion of scientific progress and milestones. The core will assist Dr. Nahrendorf with a number of administrative services, including preparation of progress reports if this application is selected for funding.
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Cardiovascular disease (CVD) and the endothelial bone marrow niche: Project 2
  • 批准号:
    10469351
  • 项目类别:
  • 资助金额:
    $39.09万
  • 财政年份:
    2019
  • 负责人:
    Matthias Nahrendorf
  • 依托单位:
Hematopoiesis in cardiovascular disease
  • 批准号:
    9789404
  • 项目类别:
  • 资助金额:
    $245.7万
  • 财政年份:
    2019
  • 负责人:
    Matthias Nahrendorf
  • 依托单位:
Hematopoiesis in cardiovascular disease
  • 批准号:
    10670731
  • 项目类别:
  • 资助金额:
    $244.38万
  • 财政年份:
    2019
  • 负责人:
    Matthias Nahrendorf
  • 依托单位:
Cardiovascular disease (CVD) and the endothelial bone marrow niche: Project 2
  • 批准号:
    10670733
  • 项目类别:
  • 资助金额:
    $39.09万
  • 财政年份:
    2019
  • 负责人:
    Matthias Nahrendorf
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis