55 channel-coding-electrical-engineering Postdoctoral positions at Stanford University
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, electrical engineering, experimental physics, or a related field Strong programming and signal processing skills, with experience in Python and/or MATLAB Demonstrated ability to work independently and
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biology. This position offers the opportunity to pursue independent and collaborative research integrating classical immunology with cell and protein engineering, synthetic biology, genetic screening
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of mechanosensation in the eye and its role in glaucoma and other ocular pathologies. Questions we are interested in studying include: 1) What are the ion channels that mediate pressure sensing in the eye? 2) What
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. The FY25 minimum is $76,383. The Water & Energy Efficiency for the Environment Lab (WE3Lab) seeks 1-2 Postdoctoral Scholars with a vision for the coordinated operation of water systems and electricity grids
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is $76,383. The Water & Energy Efficiency for the Environment Lab (WE3Lab) seeks an entrepreneurial Postdoctoral Scholar with a vision for the coordinated operation of water and electricity grids
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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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multidisciplinary team studying the genomics of neurodegenerative diseases, with a special focus on Alzheimer’s Disease (AD). Current research focuses on using novel methods to detect genetic associations with
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/Python coding, next-generation sequencing data interpretation, large-scale data integration, and machine learning. Science: strengthen the ability to formulate hypotheses, design aims to test the
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Rejuvenation, Epilepsy and Pediatric Neurology. We are seeking a highly motivated and qualified post-doctoral scholar to lead studies using state-of-the-art high throughput drug screening technology to identify