39 phd-computer-artificial-machine-human Postdoctoral positions at Northeastern University
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Boston Campus. The Clostridia are a diverse group of anaerobic bacteria that range from agents of human disease to industrial microbes used for renewable production of biofuels and biochemicals. Despite
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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involves developing research projects, grant writing, manuscript preparation, lab management, and supervision of graduate and undergraduate students. Minimum Qualifications PhD (or earning the degree by
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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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, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research
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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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to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
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About the Opportunity Postdoctoral Research Associate – Computational Glycobiology and Innate Immunity COMBINE Lab, Department of Bioengineering, Northeastern University Principal Investigator: Dr
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying