46 development "https:" "https:" "https:" "UCL" Postdoctoral positions at Stony Brook University
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. Key responsibilities: * Data acquisition: operate a 3 T Siemens Prisma Fit (and additional 3 T systems if desired) to collect structural and dynamic MRI data. * Quantitative analysis: develop pipelines
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) to collect structural and dynamic MRI data. ● Quantitative analysis: develop pipelines for dynamic MRI and physiological data; integrate multimodal metrics to uncover fluid-flow interactions
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Postdoctoral Associate to join a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The
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Postdoctoral Associate to join a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The
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system design, hydrogen generation and storage integration, safety critical operations, DAQ development, and performance verification of a modular hydrogen R&D platform. The postdoctoral researcher will
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impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. * Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts
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statistical methods, prepare manuscripts for publication in scientific journals and presentations for laboratory meetings and national conferences, assist with grant proposals, protocols, and compliance reports
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. They will perform research in the development and clinical investigation of the next generation of digital breast tomosynthesis systems. We are looking for a highly motivated and creative individual who is
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. They will perform research in the development and clinical investigation of the next generation of digital breast tomosynthesis systems. We are looking for a highly motivated and creative individual who is
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly