53 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs at Stony Brook University in United States
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the development and progression of kidney disease. The laboratory of Dr. Sandeep Mallipattu in the Division of Nephrology, Department of Medicine at Stony Brook University School of Medicine is seeking highly
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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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. Participation in professional advocacy activities. Qualifications Required Qualifications: Possession of a Doctorate in Psychology from a program accredited by the American Psychological Association (APA
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of Pathology The Shields laboratory investigates the mechanisms of development and progression of diseases impacting the exocrine pancreas, such as pancreatitis and pancreatic cancer. Chronic pancreatitis is a
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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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. 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