44 development-"https:"-"https:"-"https:"-"IFM" Postdoctoral research jobs at Stony Brook University
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in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including researchers, clinicians, and
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methodological and applied topics in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including
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methodological and applied topics in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including
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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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microenvironment niche, clonal competition, and cardiovascular pathology in MPNs. The ultimate goal of our research is to develop more effective therapies for patients with MPNs and other clonal hematologic
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microenvironment niche, clonal competition, and cardiovascular pathology in MPNs. The ultimate goal of our research is to develop more effective therapies for patients with MPNs and other clonal hematologic
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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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microenvironment niche, clonal competition, and cardiovascular pathology in MPNs. The ultimate goal of our research is to develop more effective therapies for patients with MPNs and other clonal hematologic
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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