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the Department as Assistant Professor in the University Tenure Line. Stanford Pathology particularly encourages candidates who aspire to groundbreaking research in structural biology, computational
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results effectively to academic, industrial, and general audiences. Key responsibilities Lead the design, commissioning, operation, and optimization of high-temperature reactors for methane and natural-gas
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program. The lab investigates fundamental mechanisms of immune recognition and regulation in clinically relevant contexts, with a particular focus on transplantation immunology and viral immunity. Our work
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for Postdoctoral Research Fellow in AI and Computational Neuroscience. Our lab focuses on understanding age-related cognitive decline and neurodegenerative diseases, with a special emphasis on Alzheimer's disease
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microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
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. Xiaojie Qiu (Genetics & Computer Science)(link is external) and Dr. Matteo Molè (Obstetrics & Gynecology)(link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
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availability, and internal equity. Pay Range: $80,000 to $90,000 We invite applications for a Postdoctoral Research Associate to join a collaborative experiment–theory program investigating electron–ion
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transplantation research, leveraging pulsed focused ultrasound (pFUS) to modulate the tissue microenvironment, optimize islet delivery, and improve engraftment and function in both preclinical and clinical settings
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-polysaccharide assemblies to naturally occurring and engineered polymers and industrially relevant catalytic materials. The Opportunity The successful candidate will lead an interdisciplinary research program in
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Laboratory at Stanford University is seeking a highly motivated postdoctoral scholar to join our interdisciplinary team working at the intersection of liquid biopsy, cancer genomics, and computational biology