24 parallel-processing-bioinformatics-"Prof" Postdoctoral research jobs at Northeastern University
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) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource
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position will remain open until filled. Questions about the position or how to apply can be directed to Prof. Peltier: j.peltier@northeastern.edu Position Type Research Additional Information Northeastern
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(CMS) experiment at CERN. The position will be based at CERN. The Northeastern CMS group has leading involvements in the operation and upgrades of the endcap muon (EMU) system, the electromagnetic
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About the Opportunity There is an opening in Prof. Soner Sonmezoglu’s research group for a Postdoctoral Research Associate or Research Scientist with skills and/or interests in biomedical imaging
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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About the Opportunity There is an opening in Prof. Soner Sonmezoglu’s research group for a Postdoctoral Research Associate or Research Scientist specializing in the design, fabrication, and testing
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
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cytometry and RNAseq / ATACseq. Education and Experience: Applicants must have a Ph.D. in stem cell biology, skeletal biology, or developmental biology. Research experience with mouse husbandry / surgery, in
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researcher to start as soon as possible. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate