30 phd-in-mathematical-modelling-population Postdoctoral positions at Northeastern University
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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
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biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
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conduct grant research; as normally acquired through a PhD in structural engineering or architecture with a focus in computation. Key Responsibilities & Accountabilities (40%) Work with supervisor
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population. The postdoctoral researcher is expected to take a lead role in data analyses related to the project. Successful candidates should have a strong background in fMRI data collection and analysis
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and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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calorimeter and new MTD, and the Level-1 trigger. Physics efforts include searches for physics beyond the standard model, di-Higgs boson studies, and precision electroweak and QCD measurements. The successful
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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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 group aims to bring fundamental changes in the way the sensors and electronic devices are developed...